Overview

Dataset statistics

Number of variables114
Number of observations78984
Missing cells6500990
Missing cells (%)72.2%
Duplicate rows42
Duplicate rows (%)0.1%
Total size in memory478.6 MiB
Average record size in memory6.2 KiB

Variable types

Text81
Categorical29
DateTime2
Numeric2

Alerts

Dataset has 42 (0.1%) duplicate rowsDuplicates
Inspection Type is highly overall correlated with Violation Points - 23 and 2 other fieldsHigh correlation
Street Direction is highly overall correlated with Violation Points - 24 and 1 other fieldsHigh correlation
Violation Points - 1 is highly overall correlated with Violation Points - 24High correlation
Violation Points - 21 is highly overall correlated with Violation Points - 25High correlation
Violation Points - 23 is highly overall correlated with Inspection TypeHigh correlation
Violation Points - 24 is highly overall correlated with Inspection Type and 2 other fieldsHigh correlation
Violation Points - 25 is highly overall correlated with Inspection Type and 4 other fieldsHigh correlation
Violation Points - 7 is highly overall correlated with Violation Points - 25High correlation
Violation Points - 9 is highly overall correlated with Violation Points - 25High correlation
Inspection Type is highly imbalanced (93.8%)Imbalance
Street Direction has 52898 (67.0%) missing valuesMissing
Street Type has 1674 (2.1%) missing valuesMissing
Street Unit has 50804 (64.3%) missing valuesMissing
Violation Description - 1 has 6579 (8.3%) missing valuesMissing
Violation Points - 1 has 6579 (8.3%) missing valuesMissing
Violation Detail - 1 has 7133 (9.0%) missing valuesMissing
Violation Memo - 1 has 22847 (28.9%) missing valuesMissing
Violation Description - 2 has 14129 (17.9%) missing valuesMissing
Violation Points - 2 has 14129 (17.9%) missing valuesMissing
Violation Detail - 2 has 14719 (18.6%) missing valuesMissing
Violation Memo - 2 has 29223 (37.0%) missing valuesMissing
Violation Description - 3 has 23071 (29.2%) missing valuesMissing
Violation Points - 3 has 23071 (29.2%) missing valuesMissing
Violation Detail - 3 has 23599 (29.9%) missing valuesMissing
Violation Memo - 3 has 35999 (45.6%) missing valuesMissing
Violation Description - 4 has 31954 (40.5%) missing valuesMissing
Violation Points - 4 has 31954 (40.5%) missing valuesMissing
Violation Detail - 4 has 32454 (41.1%) missing valuesMissing
Violation Memo - 4 has 42581 (53.9%) missing valuesMissing
Violation Description - 5 has 40179 (50.9%) missing valuesMissing
Violation Points - 5 has 40179 (50.9%) missing valuesMissing
Violation Detail - 5 has 40658 (51.5%) missing valuesMissing
Violation Memo - 5 has 48712 (61.7%) missing valuesMissing
Violation Description - 6 has 47592 (60.3%) missing valuesMissing
Violation Points - 6 has 47592 (60.3%) missing valuesMissing
Violation Detail - 6 has 47986 (60.8%) missing valuesMissing
Violation Memo - 6 has 54293 (68.7%) missing valuesMissing
Violation Description - 7 has 54155 (68.6%) missing valuesMissing
Violation Points - 7 has 54155 (68.6%) missing valuesMissing
Violation Detail - 7 has 54488 (69.0%) missing valuesMissing
Violation Memo - 7 has 59172 (74.9%) missing valuesMissing
Violation Description - 8 has 59822 (75.7%) missing valuesMissing
Violation Points - 8 has 59822 (75.7%) missing valuesMissing
Violation Detail - 8 has 60085 (76.1%) missing valuesMissing
Violation Memo - 8 has 63543 (80.5%) missing valuesMissing
Violation Description - 9 has 64648 (81.8%) missing valuesMissing
Violation Points - 9 has 64648 (81.8%) missing valuesMissing
Violation Detail - 9 has 64865 (82.1%) missing valuesMissing
Violation Memo - 9 has 67250 (85.1%) missing valuesMissing
Violation Description - 10 has 68717 (87.0%) missing valuesMissing
Violation Points - 10 has 68717 (87.0%) missing valuesMissing
Violation Detail - 10 has 68878 (87.2%) missing valuesMissing
Violation Memo - 10 has 70383 (89.1%) missing valuesMissing
Violation Description - 11 has 72098 (91.3%) missing valuesMissing
Violation Points - 11 has 72098 (91.3%) missing valuesMissing
Violation Detail - 11 has 72199 (91.4%) missing valuesMissing
Violation Memo - 11 has 73208 (92.7%) missing valuesMissing
Violation Description - 12 has 74711 (94.6%) missing valuesMissing
Violation Points - 12 has 74711 (94.6%) missing valuesMissing
Violation Detail - 12 has 74796 (94.7%) missing valuesMissing
Violation Memo - 12 has 75467 (95.5%) missing valuesMissing
Violation Description - 13 has 76270 (96.6%) missing valuesMissing
Violation Points - 13 has 76270 (96.6%) missing valuesMissing
Violation Detail - 13 has 76325 (96.6%) missing valuesMissing
Violation Memo - 13 has 76738 (97.2%) missing valuesMissing
Violation Description - 14 has 77075 (97.6%) missing valuesMissing
Violation Points - 14 has 77075 (97.6%) missing valuesMissing
Violation Detail - 14 has 77105 (97.6%) missing valuesMissing
Violation Memo - 14 has 77406 (98.0%) missing valuesMissing
Violation Description - 15 has 77639 (98.3%) missing valuesMissing
Violation Points - 15 has 77639 (98.3%) missing valuesMissing
Violation Detail - 15 has 77664 (98.3%) missing valuesMissing
Violation Memo - 15 has 77886 (98.6%) missing valuesMissing
Violation Description - 16 has 78089 (98.9%) missing valuesMissing
Violation Points - 16 has 78089 (98.9%) missing valuesMissing
Violation Detail - 16 has 78106 (98.9%) missing valuesMissing
Violation Memo - 16 has 78239 (99.1%) missing valuesMissing
Violation Description - 17 has 78431 (99.3%) missing valuesMissing
Violation Points - 17 has 78431 (99.3%) missing valuesMissing
Violation Detail - 17 has 78443 (99.3%) missing valuesMissing
Violation Memo - 17 has 78534 (99.4%) missing valuesMissing
Violation Description - 18 has 78630 (99.6%) missing valuesMissing
Violation Points - 18 has 78630 (99.6%) missing valuesMissing
Violation Detail - 18 has 78638 (99.6%) missing valuesMissing
Violation Memo - 18 has 78692 (99.6%) missing valuesMissing
Violation Description - 19 has 78776 (99.7%) missing valuesMissing
Violation Points - 19 has 78776 (99.7%) missing valuesMissing
Violation Detail - 19 has 78779 (99.7%) missing valuesMissing
Violation Memo - 19 has 78815 (99.8%) missing valuesMissing
Violation Description - 20 has 78852 (99.8%) missing valuesMissing
Violation Points - 20 has 78852 (99.8%) missing valuesMissing
Violation Detail - 20 has 78858 (99.8%) missing valuesMissing
Violation Memo - 20 has 78872 (99.9%) missing valuesMissing
Violation Description - 21 has 78910 (99.9%) missing valuesMissing
Violation Points - 21 has 78910 (99.9%) missing valuesMissing
Violation Detail - 21 has 78915 (99.9%) missing valuesMissing
Violation Memo - 21 has 78921 (99.9%) missing valuesMissing
Violation Description - 22 has 78951 (> 99.9%) missing valuesMissing
Violation Points - 22 has 78951 (> 99.9%) missing valuesMissing
Violation Detail - 22 has 78954 (> 99.9%) missing valuesMissing
Violation Memo - 22 has 78953 (> 99.9%) missing valuesMissing
Violation Description - 23 has 78966 (> 99.9%) missing valuesMissing
Violation Points - 23 has 78966 (> 99.9%) missing valuesMissing
Violation Detail - 23 has 78966 (> 99.9%) missing valuesMissing
Violation Memo - 23 has 78967 (> 99.9%) missing valuesMissing
Violation Description - 24 has 78972 (> 99.9%) missing valuesMissing
Violation Points - 24 has 78972 (> 99.9%) missing valuesMissing
Violation Detail - 24 has 78972 (> 99.9%) missing valuesMissing
Violation Memo - 24 has 78972 (> 99.9%) missing valuesMissing
Violation Description - 25 has 78978 (> 99.9%) missing valuesMissing
Violation Points - 25 has 78978 (> 99.9%) missing valuesMissing
Violation Detail - 25 has 78979 (> 99.9%) missing valuesMissing
Violation Memo - 25 has 78978 (> 99.9%) missing valuesMissing
Violation Points - 25 is uniformly distributedUniform

Reproduction

Analysis started2024-06-24 01:05:39.001535
Analysis finished2024-06-24 01:06:44.185828
Duration1 minute and 5.18 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Distinct9155
Distinct (%)11.6%
Missing11
Missing (%)< 0.1%
Memory size5.7 MiB
2024-06-24T01:06:44.689395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length65
Median length52
Mean length19.2454
Min length3

Characters and Unicode

Total characters1519867
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique851 ?
Unique (%)1.1%

Sample

1st rowMICKLE CHICKEN
2nd rowTOM THUMB - JUICE BAR
3rd rowBROOKDALE WHITE ROCK
4th rowCHURCH'S CHICKEN #201
5th rowPEAK PREPARATORY-PRIMARY SCHOOL
ValueCountFrequency (%)
7485
 
3.0%
bar 3197
 
1.3%
restaurant 2900
 
1.2%
the 2828
 
1.1%
food 2741
 
1.1%
kitchen 2661
 
1.1%
cafe 2579
 
1.0%
la 2509
 
1.0%
el 2289
 
0.9%
school 2169
 
0.9%
Other values (7460) 216313
87.3%
2024-06-24T01:06:46.034770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169281
 
11.1%
E 133757
 
8.8%
A 130386
 
8.6%
R 94229
 
6.2%
O 91298
 
6.0%
S 84831
 
5.6%
T 83114
 
5.5%
I 81444
 
5.4%
N 74071
 
4.9%
L 72621
 
4.8%
Other values (67) 504835
33.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1519867
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
169281
 
11.1%
E 133757
 
8.8%
A 130386
 
8.6%
R 94229
 
6.2%
O 91298
 
6.0%
S 84831
 
5.6%
T 83114
 
5.5%
I 81444
 
5.4%
N 74071
 
4.9%
L 72621
 
4.8%
Other values (67) 504835
33.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1519867
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
169281
 
11.1%
E 133757
 
8.8%
A 130386
 
8.6%
R 94229
 
6.2%
O 91298
 
6.0%
S 84831
 
5.6%
T 83114
 
5.5%
I 81444
 
5.4%
N 74071
 
4.9%
L 72621
 
4.8%
Other values (67) 504835
33.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1519867
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
169281
 
11.1%
E 133757
 
8.8%
A 130386
 
8.6%
R 94229
 
6.2%
O 91298
 
6.0%
S 84831
 
5.6%
T 83114
 
5.5%
I 81444
 
5.4%
N 74071
 
4.9%
L 72621
 
4.8%
Other values (67) 504835
33.2%

Inspection Type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
Routine
78019 
Follow-up
 
935
Complaint
 
30

Length

Max length9
Median length7
Mean length7.0244353
Min length7

Characters and Unicode

Total characters554818
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 78019
98.8%
Follow-up 935
 
1.2%
Complaint 30
 
< 0.1%

Length

2024-06-24T01:06:46.528306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:06:47.046242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
routine 78019
98.8%
follow-up 935
 
1.2%
complaint 30
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
o 79919
14.4%
u 78954
14.2%
t 78049
14.1%
i 78049
14.1%
n 78049
14.1%
R 78019
14.1%
e 78019
14.1%
l 1900
 
0.3%
p 965
 
0.2%
F 935
 
0.2%
Other values (5) 1960
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 554818
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 79919
14.4%
u 78954
14.2%
t 78049
14.1%
i 78049
14.1%
n 78049
14.1%
R 78019
14.1%
e 78019
14.1%
l 1900
 
0.3%
p 965
 
0.2%
F 935
 
0.2%
Other values (5) 1960
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 554818
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 79919
14.4%
u 78954
14.2%
t 78049
14.1%
i 78049
14.1%
n 78049
14.1%
R 78019
14.1%
e 78019
14.1%
l 1900
 
0.3%
p 965
 
0.2%
F 935
 
0.2%
Other values (5) 1960
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 554818
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 79919
14.4%
u 78954
14.2%
t 78049
14.1%
i 78049
14.1%
n 78049
14.1%
R 78019
14.1%
e 78019
14.1%
l 1900
 
0.3%
p 965
 
0.2%
F 935
 
0.2%
Other values (5) 1960
 
0.4%
Distinct2308
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size617.2 KiB
Minimum2016-10-03 00:00:00
Maximum2024-02-29 00:00:00
2024-06-24T01:06:47.485633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-24T01:06:47.835525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Score
Real number (ℝ)

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.863618
Minimum-26
Maximum100
Zeros2
Zeros (%)< 0.1%
Negative6
Negative (%)< 0.1%
Memory size617.2 KiB
2024-06-24T01:06:48.080881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-26
5-th percentile80
Q187
median92
Q396
95-th percentile100
Maximum100
Range126
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.9807704
Coefficient of variation (CV)0.076826904
Kurtosis4.9847547
Mean90.863618
Median Absolute Deviation (MAD)5
Skewness-1.1511953
Sum7176772
Variance48.731156
MonotonicityNot monotonic
2024-06-24T01:06:48.379928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 6564
 
8.3%
97 5249
 
6.6%
95 4964
 
6.3%
94 4724
 
6.0%
96 4675
 
5.9%
90 4414
 
5.6%
92 4271
 
5.4%
93 4265
 
5.4%
98 4035
 
5.1%
91 3955
 
5.0%
Other values (48) 31868
40.3%
ValueCountFrequency (%)
-26 1
< 0.1%
-15 1
< 0.1%
-13 1
< 0.1%
-5 2
< 0.1%
-3 1
< 0.1%
0 2
< 0.1%
44 1
< 0.1%
50 1
< 0.1%
51 2
< 0.1%
52 1
< 0.1%
ValueCountFrequency (%)
100 6564
8.3%
99 3127
4.0%
98 4035
5.1%
97 5249
6.6%
96 4675
5.9%
95 4964
6.3%
94 4724
6.0%
93 4265
5.4%
92 4271
5.4%
91 3955
5.0%

Street Number
Real number (ℝ)

Distinct3443
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5517.238
Minimum0
Maximum39779
Zeros71
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size617.2 KiB
2024-06-24T01:06:48.702607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile515
Q12302.75
median4151
Q38238
95-th percentile13434
Maximum39779
Range39779
Interquartile range (IQR)5935.25

Descriptive statistics

Standard deviation4331.06
Coefficient of variation (CV)0.7850051
Kurtosis3.6528913
Mean5517.238
Median Absolute Deviation (MAD)2473
Skewness1.3428126
Sum4.3577353 × 108
Variance18758081
MonotonicityNot monotonic
2024-06-24T01:06:48.996342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2500 563
 
0.7%
8687 399
 
0.5%
400 378
 
0.5%
1201 343
 
0.4%
8008 333
 
0.4%
650 328
 
0.4%
13350 285
 
0.4%
2201 280
 
0.4%
1515 280
 
0.4%
2200 250
 
0.3%
Other values (3433) 75545
95.6%
ValueCountFrequency (%)
0 71
0.1%
100 60
0.1%
102 46
0.1%
103 9
 
< 0.1%
104 2
 
< 0.1%
105 10
 
< 0.1%
106 33
< 0.1%
108 11
 
< 0.1%
110 37
< 0.1%
111 57
0.1%
ValueCountFrequency (%)
39779 19
< 0.1%
39739 18
< 0.1%
39718 12
< 0.1%
39640 22
< 0.1%
34511 4
 
< 0.1%
33333 2
 
< 0.1%
19304 14
< 0.1%
19177 13
< 0.1%
19160 14
< 0.1%
19129 28
< 0.1%
Distinct842
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.9 MiB
2024-06-24T01:06:49.550714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length25
Median length22
Mean length7.8776461
Min length2

Characters and Unicode

Total characters622208
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)< 0.1%

Sample

1st rowCAMP WISDOM
2nd rowFIELD
3rd rowWHITE ROCK
4th rowFERGUSON
5th rowANNEX
ValueCountFrequency (%)
preston 2385
 
2.5%
northwest 2339
 
2.4%
greenville 2063
 
2.1%
forest 2027
 
2.1%
central 1945
 
2.0%
buckner 1715
 
1.8%
hill 1500
 
1.5%
walnut 1446
 
1.5%
harry 1357
 
1.4%
hines 1357
 
1.4%
Other values (859) 78690
81.3%
2024-06-24T01:06:50.378012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 61223
 
9.8%
R 53279
 
8.6%
L 51096
 
8.2%
N 51008
 
8.2%
A 49449
 
7.9%
O 42326
 
6.8%
T 37074
 
6.0%
S 36040
 
5.8%
I 34584
 
5.6%
M 24014
 
3.9%
Other values (32) 182115
29.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 622208
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
E 61223
 
9.8%
R 53279
 
8.6%
L 51096
 
8.2%
N 51008
 
8.2%
A 49449
 
7.9%
O 42326
 
6.8%
T 37074
 
6.0%
S 36040
 
5.8%
I 34584
 
5.6%
M 24014
 
3.9%
Other values (32) 182115
29.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 622208
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
E 61223
 
9.8%
R 53279
 
8.6%
L 51096
 
8.2%
N 51008
 
8.2%
A 49449
 
7.9%
O 42326
 
6.8%
T 37074
 
6.0%
S 36040
 
5.8%
I 34584
 
5.6%
M 24014
 
3.9%
Other values (32) 182115
29.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 622208
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
E 61223
 
9.8%
R 53279
 
8.6%
L 51096
 
8.2%
N 51008
 
8.2%
A 49449
 
7.9%
O 42326
 
6.8%
T 37074
 
6.0%
S 36040
 
5.8%
I 34584
 
5.6%
M 24014
 
3.9%
Other values (32) 182115
29.3%

Street Direction
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing52898
Missing (%)67.0%
Memory size3.5 MiB
W
7824 
N
7811 
S
6924 
E
3527 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters26086
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowN
3rd rowS
4th rowN
5th rowW

Common Values

ValueCountFrequency (%)
W 7824
 
9.9%
N 7811
 
9.9%
S 6924
 
8.8%
E 3527
 
4.5%
(Missing) 52898
67.0%

Length

2024-06-24T01:06:50.649295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:06:50.872803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
w 7824
30.0%
n 7811
29.9%
s 6924
26.5%
e 3527
13.5%

Most occurring characters

ValueCountFrequency (%)
W 7824
30.0%
N 7811
29.9%
S 6924
26.5%
E 3527
13.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26086
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
W 7824
30.0%
N 7811
29.9%
S 6924
26.5%
E 3527
13.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26086
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
W 7824
30.0%
N 7811
29.9%
S 6924
26.5%
E 3527
13.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26086
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
W 7824
30.0%
N 7811
29.9%
S 6924
26.5%
E 3527
13.5%

Street Type
Categorical

MISSING 

Distinct19
Distinct (%)< 0.1%
Missing1674
Missing (%)2.1%
Memory size4.5 MiB
RD
19688 
AVE
13915 
ST
11624 
LN
8505 
BLVD
7764 
Other values (14)
15814 

Length

Max length4
Median length2
Mean length2.6044755
Min length2

Characters and Unicode

Total characters201352
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRD
2nd rowST
3rd rowTRL
4th rowRD
5th rowAVE

Common Values

ValueCountFrequency (%)
RD 19688
24.9%
AVE 13915
17.6%
ST 11624
14.7%
LN 8505
10.8%
BLVD 7764
 
9.8%
DR 5056
 
6.4%
FRWY 3018
 
3.8%
HWY 2339
 
3.0%
EXPW 2017
 
2.6%
PKWY 1660
 
2.1%
Other values (9) 1724
 
2.2%
(Missing) 1674
 
2.1%

Length

2024-06-24T01:06:51.085790image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 19688
25.5%
ave 13915
18.0%
st 11624
15.0%
ln 8505
11.0%
blvd 7764
 
10.0%
dr 5056
 
6.5%
frwy 3018
 
3.9%
hwy 2339
 
3.0%
expw 2017
 
2.6%
pkwy 1660
 
2.1%
Other values (9) 1724
 
2.2%

Most occurring characters

ValueCountFrequency (%)
D 32508
16.1%
R 28179
14.0%
V 21679
10.8%
L 16527
8.2%
E 16293
8.1%
A 14441
7.2%
T 12401
 
6.2%
S 11704
 
5.8%
W 9770
 
4.9%
N 8505
 
4.2%
Other values (11) 29345
14.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 201352
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
D 32508
16.1%
R 28179
14.0%
V 21679
10.8%
L 16527
8.2%
E 16293
8.1%
A 14441
7.2%
T 12401
 
6.2%
S 11704
 
5.8%
W 9770
 
4.9%
N 8505
 
4.2%
Other values (11) 29345
14.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 201352
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
D 32508
16.1%
R 28179
14.0%
V 21679
10.8%
L 16527
8.2%
E 16293
8.1%
A 14441
7.2%
T 12401
 
6.2%
S 11704
 
5.8%
W 9770
 
4.9%
N 8505
 
4.2%
Other values (11) 29345
14.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 201352
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
D 32508
16.1%
R 28179
14.0%
V 21679
10.8%
L 16527
8.2%
E 16293
8.1%
A 14441
7.2%
T 12401
 
6.2%
S 11704
 
5.8%
W 9770
 
4.9%
N 8505
 
4.2%
Other values (11) 29345
14.6%

Street Unit
Text

MISSING 

Distinct990
Distinct (%)3.5%
Missing50804
Missing (%)64.3%
Memory size3.2 MiB
2024-06-24T01:06:51.609658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.824237
Min length1

Characters and Unicode

Total characters107767
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)0.2%

Sample

1st row#3000
2nd row#110
3rd row#180
4th row#B
5th row#101
ValueCountFrequency (%)
100 2920
 
10.3%
a 1210
 
4.3%
110 1022
 
3.6%
101 1021
 
3.6%
b 793
 
2.8%
102 632
 
2.2%
120 568
 
2.0%
200 534
 
1.9%
300 528
 
1.9%
150 515
 
1.8%
Other values (864) 18623
65.7%
2024-06-24T01:06:52.433108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 25086
23.3%
0 23354
21.7%
1 22563
20.9%
2 7886
 
7.3%
3 5190
 
4.8%
5 4296
 
4.0%
4 3319
 
3.1%
6 2664
 
2.5%
8 2127
 
2.0%
7 2016
 
1.9%
Other values (28) 9266
 
8.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 107767
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
# 25086
23.3%
0 23354
21.7%
1 22563
20.9%
2 7886
 
7.3%
3 5190
 
4.8%
5 4296
 
4.0%
4 3319
 
3.1%
6 2664
 
2.5%
8 2127
 
2.0%
7 2016
 
1.9%
Other values (28) 9266
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 107767
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
# 25086
23.3%
0 23354
21.7%
1 22563
20.9%
2 7886
 
7.3%
3 5190
 
4.8%
5 4296
 
4.0%
4 3319
 
3.1%
6 2664
 
2.5%
8 2127
 
2.0%
7 2016
 
1.9%
Other values (28) 9266
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 107767
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
# 25086
23.3%
0 23354
21.7%
1 22563
20.9%
2 7886
 
7.3%
3 5190
 
4.8%
5 4296
 
4.0%
4 3319
 
3.1%
6 2664
 
2.5%
8 2127
 
2.0%
7 2016
 
1.9%
Other values (28) 9266
 
8.6%
Distinct7823
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size5.7 MiB
2024-06-24T01:06:52.930586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length37
Median length32
Mean length18.99115
Min length10

Characters and Unicode

Total characters1499997
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique476 ?
Unique (%)0.6%

Sample

1st row3203 W CAMP WISDOM RD
2nd row2380 N FIELD ST
3rd row9271 WHITE ROCK TRL
4th row10295 FERGUSON RD
5th row1474 ANNEX AVE
ValueCountFrequency (%)
rd 19720
 
6.4%
ave 13924
 
4.5%
st 12071
 
3.9%
ln 8545
 
2.8%
w 7904
 
2.5%
n 7811
 
2.5%
blvd 7783
 
2.5%
s 6940
 
2.2%
dr 5063
 
1.6%
e 3730
 
1.2%
Other values (4952) 216782
69.9%
2024-06-24T01:06:53.682019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231300
 
15.4%
E 83421
 
5.6%
R 81820
 
5.5%
1 80067
 
5.3%
0 77445
 
5.2%
L 68568
 
4.6%
N 67422
 
4.5%
A 66095
 
4.4%
S 56739
 
3.8%
T 51715
 
3.4%
Other values (36) 635405
42.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1499997
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
231300
 
15.4%
E 83421
 
5.6%
R 81820
 
5.5%
1 80067
 
5.3%
0 77445
 
5.2%
L 68568
 
4.6%
N 67422
 
4.5%
A 66095
 
4.4%
S 56739
 
3.8%
T 51715
 
3.4%
Other values (36) 635405
42.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1499997
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
231300
 
15.4%
E 83421
 
5.6%
R 81820
 
5.5%
1 80067
 
5.3%
0 77445
 
5.2%
L 68568
 
4.6%
N 67422
 
4.5%
A 66095
 
4.4%
S 56739
 
3.8%
T 51715
 
3.4%
Other values (36) 635405
42.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1499997
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
231300
 
15.4%
E 83421
 
5.6%
R 81820
 
5.5%
1 80067
 
5.3%
0 77445
 
5.2%
L 68568
 
4.6%
N 67422
 
4.5%
A 66095
 
4.4%
S 56739
 
3.8%
T 51715
 
3.4%
Other values (36) 635405
42.4%
Distinct156
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.7 MiB
2024-06-24T01:06:54.426135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0155475
Min length5

Characters and Unicode

Total characters396148
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)< 0.1%

Sample

1st row75237
2nd row75021
3rd row75238
4th row75228
5th row75204
ValueCountFrequency (%)
75201 4687
 
5.9%
75220 3784
 
4.8%
75206 3373
 
4.3%
75243 3146
 
4.0%
75211 3075
 
3.9%
75217 3066
 
3.9%
75231 2979
 
3.8%
75229 2613
 
3.3%
75228 2591
 
3.3%
75208 2573
 
3.3%
Other values (146) 47097
59.6%
2024-06-24T01:06:55.015434image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 100567
25.4%
7 88941
22.5%
5 87120
22.0%
1 28942
 
7.3%
0 28434
 
7.2%
3 18307
 
4.6%
4 18211
 
4.6%
8 10942
 
2.8%
6 7801
 
2.0%
9 6691
 
1.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 396148
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 100567
25.4%
7 88941
22.5%
5 87120
22.0%
1 28942
 
7.3%
0 28434
 
7.2%
3 18307
 
4.6%
4 18211
 
4.6%
8 10942
 
2.8%
6 7801
 
2.0%
9 6691
 
1.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 396148
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 100567
25.4%
7 88941
22.5%
5 87120
22.0%
1 28942
 
7.3%
0 28434
 
7.2%
3 18307
 
4.6%
4 18211
 
4.6%
8 10942
 
2.8%
6 7801
 
2.0%
9 6691
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 396148
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 100567
25.4%
7 88941
22.5%
5 87120
22.0%
1 28942
 
7.3%
0 28434
 
7.2%
3 18307
 
4.6%
4 18211
 
4.6%
8 10942
 
2.8%
6 7801
 
2.0%
9 6691
 
1.7%
Distinct623
Distinct (%)0.9%
Missing6579
Missing (%)8.3%
Memory size7.6 MiB
2024-06-24T01:06:55.454644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length91
Mean length44.645687
Min length12

Characters and Unicode

Total characters3232571
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)0.2%

Sample

1st row*21 RFSM - Not On Site
2nd row*21 RFSM - Not On Site
3rd row*32 Equipment & Utensils smooth easily cleanable
4th row*18 Toxic items storage adjacent to food/utensils
5th row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
ValueCountFrequency (%)
food 18325
 
3.5%
15603
 
3.0%
and 11028
 
2.1%
or 9010
 
1.7%
not 8762
 
1.7%
in 8054
 
1.5%
10 7790
 
1.5%
clean 6118
 
1.2%
on 5826
 
1.1%
good 5815
 
1.1%
Other values (1237) 423687
81.5%
2024-06-24T01:06:56.214214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
455604
 
14.1%
e 252459
 
7.8%
o 241077
 
7.5%
n 193376
 
6.0%
t 190717
 
5.9%
i 181214
 
5.6%
a 169206
 
5.2%
s 146253
 
4.5%
r 141254
 
4.4%
d 119683
 
3.7%
Other values (72) 1141728
35.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3232571
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
455604
 
14.1%
e 252459
 
7.8%
o 241077
 
7.5%
n 193376
 
6.0%
t 190717
 
5.9%
i 181214
 
5.6%
a 169206
 
5.2%
s 146253
 
4.5%
r 141254
 
4.4%
d 119683
 
3.7%
Other values (72) 1141728
35.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3232571
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
455604
 
14.1%
e 252459
 
7.8%
o 241077
 
7.5%
n 193376
 
6.0%
t 190717
 
5.9%
i 181214
 
5.6%
a 169206
 
5.2%
s 146253
 
4.5%
r 141254
 
4.4%
d 119683
 
3.7%
Other values (72) 1141728
35.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3232571
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
455604
 
14.1%
e 252459
 
7.8%
o 241077
 
7.5%
n 193376
 
6.0%
t 190717
 
5.9%
i 181214
 
5.6%
a 169206
 
5.2%
s 146253
 
4.5%
r 141254
 
4.4%
d 119683
 
3.7%
Other values (72) 1141728
35.3%

Violation Points - 1
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing6579
Missing (%)8.3%
Memory size4.4 MiB
3.0
28550 
1.0
24947 
2.0
18907 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters217215
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 28550
36.1%
1.0 24947
31.6%
2.0 18907
23.9%
4.0 1
 
< 0.1%
(Missing) 6579
 
8.3%

Length

2024-06-24T01:06:56.471713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:06:56.699678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3.0 28550
39.4%
1.0 24947
34.5%
2.0 18907
26.1%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 72405
33.3%
0 72405
33.3%
3 28550
 
13.1%
1 24947
 
11.5%
2 18907
 
8.7%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 217215
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 72405
33.3%
0 72405
33.3%
3 28550
 
13.1%
1 24947
 
11.5%
2 18907
 
8.7%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 217215
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 72405
33.3%
0 72405
33.3%
3 28550
 
13.1%
1 24947
 
11.5%
2 18907
 
8.7%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 217215
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 72405
33.3%
0 72405
33.3%
3 28550
 
13.1%
1 24947
 
11.5%
2 18907
 
8.7%
4 1
 
< 0.1%

Violation Detail - 1
Text

MISSING 

Distinct642
Distinct (%)0.9%
Missing7133
Missing (%)9.0%
Memory size34.8 MiB
2024-06-24T01:06:57.073734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length734
Mean length375.74507
Min length125

Characters and Unicode

Total characters26997659
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)0.2%

Sample

1st rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
2nd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
3rd row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; and
4th row228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; and
5th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
ValueCountFrequency (%)
and 209791
 
5.6%
food 155311
 
4.1%
of 127102
 
3.4%
the 118085
 
3.1%
a 97956
 
2.6%
in 85050
 
2.3%
shall 82639
 
2.2%
be 72501
 
1.9%
or 70978
 
1.9%
equipment 69659
 
1.9%
Other values (2595) 2664134
71.0%
2024-06-24T01:06:57.966238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5500542
20.4%
e 2306437
 
8.5%
a 1580598
 
5.9%
n 1546531
 
5.7%
i 1544446
 
5.7%
t 1537226
 
5.7%
o 1478271
 
5.5%
s 1417353
 
5.2%
r 1085814
 
4.0%
d 914206
 
3.4%
Other values (67) 8086235
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26997659
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5500542
20.4%
e 2306437
 
8.5%
a 1580598
 
5.9%
n 1546531
 
5.7%
i 1544446
 
5.7%
t 1537226
 
5.7%
o 1478271
 
5.5%
s 1417353
 
5.2%
r 1085814
 
4.0%
d 914206
 
3.4%
Other values (67) 8086235
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26997659
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5500542
20.4%
e 2306437
 
8.5%
a 1580598
 
5.9%
n 1546531
 
5.7%
i 1544446
 
5.7%
t 1537226
 
5.7%
o 1478271
 
5.5%
s 1417353
 
5.2%
r 1085814
 
4.0%
d 914206
 
3.4%
Other values (67) 8086235
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26997659
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5500542
20.4%
e 2306437
 
8.5%
a 1580598
 
5.9%
n 1546531
 
5.7%
i 1544446
 
5.7%
t 1537226
 
5.7%
o 1478271
 
5.5%
s 1417353
 
5.2%
r 1085814
 
4.0%
d 914206
 
3.4%
Other values (67) 8086235
30.0%

Violation Memo - 1
Text

MISSING 

Distinct44372
Distinct (%)79.0%
Missing22847
Missing (%)28.9%
Memory size6.5 MiB
2024-06-24T01:06:58.712132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length2326
Median length821
Mean length50.045442
Min length1

Characters and Unicode

Total characters2809401
Distinct characters105
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41372 ?
Unique (%)73.7%

Sample

1st rowregister with the City of Dallas: 7901 Goforth Rd Dallas, TX 75238 214-670-8083
2nd rowyou can not store utensils or food on cloth
3rd rowobserved chemical store next to the food
4th rowlow concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentration
5th rowreplace missing and shifting ceiling tiles
ValueCountFrequency (%)
in 13608
 
2.9%
the 10381
 
2.2%
food 8448
 
1.8%
of 8234
 
1.7%
on 8213
 
1.7%
and 8006
 
1.7%
clean 7636
 
1.6%
at 7589
 
1.6%
to 6378
 
1.3%
observed 6054
 
1.3%
Other values (12584) 391210
82.2%
2024-06-24T01:06:59.883865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
447682
 
15.9%
e 214294
 
7.6%
o 141375
 
5.0%
a 129372
 
4.6%
i 121528
 
4.3%
t 121346
 
4.3%
n 120136
 
4.3%
r 116730
 
4.2%
s 111668
 
4.0%
d 78186
 
2.8%
Other values (95) 1207084
43.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2809401
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
447682
 
15.9%
e 214294
 
7.6%
o 141375
 
5.0%
a 129372
 
4.6%
i 121528
 
4.3%
t 121346
 
4.3%
n 120136
 
4.3%
r 116730
 
4.2%
s 111668
 
4.0%
d 78186
 
2.8%
Other values (95) 1207084
43.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2809401
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
447682
 
15.9%
e 214294
 
7.6%
o 141375
 
5.0%
a 129372
 
4.6%
i 121528
 
4.3%
t 121346
 
4.3%
n 120136
 
4.3%
r 116730
 
4.2%
s 111668
 
4.0%
d 78186
 
2.8%
Other values (95) 1207084
43.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2809401
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
447682
 
15.9%
e 214294
 
7.6%
o 141375
 
5.0%
a 129372
 
4.6%
i 121528
 
4.3%
t 121346
 
4.3%
n 120136
 
4.3%
r 116730
 
4.2%
s 111668
 
4.0%
d 78186
 
2.8%
Other values (95) 1207084
43.0%
Distinct611
Distinct (%)0.9%
Missing14129
Missing (%)17.9%
Memory size6.9 MiB
2024-06-24T01:07:00.478640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length44.763796
Min length12

Characters and Unicode

Total characters2903156
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)0.2%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*11Food Donations - Damaged foods
3rd row*22 Handlers-Certificate Not On Site
4th row*28 Do not exceed manuf. use by date
5th row*45Floor, wall, ceiling - Exposed material
ValueCountFrequency (%)
food 16177
 
3.5%
14209
 
3.1%
and 8104
 
1.7%
not 7678
 
1.7%
in 7428
 
1.6%
or 5951
 
1.3%
on 5429
 
1.2%
site 5351
 
1.2%
10 5239
 
1.1%
equipment 4999
 
1.1%
Other values (1233) 382726
82.6%
2024-06-24T01:07:01.633649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405709
14.0%
e 231744
 
8.0%
o 210691
 
7.3%
n 177398
 
6.1%
t 174240
 
6.0%
i 171312
 
5.9%
a 152575
 
5.3%
s 140054
 
4.8%
r 130128
 
4.5%
d 101114
 
3.5%
Other values (73) 1008191
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2903156
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
405709
14.0%
e 231744
 
8.0%
o 210691
 
7.3%
n 177398
 
6.1%
t 174240
 
6.0%
i 171312
 
5.9%
a 152575
 
5.3%
s 140054
 
4.8%
r 130128
 
4.5%
d 101114
 
3.5%
Other values (73) 1008191
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2903156
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
405709
14.0%
e 231744
 
8.0%
o 210691
 
7.3%
n 177398
 
6.1%
t 174240
 
6.0%
i 171312
 
5.9%
a 152575
 
5.3%
s 140054
 
4.8%
r 130128
 
4.5%
d 101114
 
3.5%
Other values (73) 1008191
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2903156
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
405709
14.0%
e 231744
 
8.0%
o 210691
 
7.3%
n 177398
 
6.1%
t 174240
 
6.0%
i 171312
 
5.9%
a 152575
 
5.3%
s 140054
 
4.8%
r 130128
 
4.5%
d 101114
 
3.5%
Other values (73) 1008191
34.7%

Violation Points - 2
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing14129
Missing (%)17.9%
Memory size4.3 MiB
1.0
26090 
3.0
19570 
2.0
19194 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters194565
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26090
33.0%
3.0 19570
24.8%
2.0 19194
24.3%
4.0 1
 
< 0.1%
(Missing) 14129
17.9%

Length

2024-06-24T01:07:02.104772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:02.591502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26090
40.2%
3.0 19570
30.2%
2.0 19194
29.6%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 64855
33.3%
0 64855
33.3%
1 26090
13.4%
3 19570
 
10.1%
2 19194
 
9.9%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 194565
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 64855
33.3%
0 64855
33.3%
1 26090
13.4%
3 19570
 
10.1%
2 19194
 
9.9%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 194565
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 64855
33.3%
0 64855
33.3%
1 26090
13.4%
3 19570
 
10.1%
2 19194
 
9.9%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 194565
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 64855
33.3%
0 64855
33.3%
1 26090
13.4%
3 19570
 
10.1%
2 19194
 
9.9%
4 1
 
< 0.1%

Violation Detail - 2
Text

MISSING 

Distinct626
Distinct (%)1.0%
Missing14719
Missing (%)18.6%
Memory size30.9 MiB
2024-06-24T01:07:03.245410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length726
Mean length370.68807
Min length125

Characters and Unicode

Total characters23822269
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)0.2%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.83 Food. Donation of foods. (e) Damaged foods. Heavily rim or seam-dented canned foods, or packaged foods without the manufacturer#s complete labeling, shall not be donated.
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
5th row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
ValueCountFrequency (%)
and 181066
 
5.5%
food 139100
 
4.2%
of 112261
 
3.4%
the 110623
 
3.3%
a 90522
 
2.7%
shall 74507
 
2.3%
in 73435
 
2.2%
be 64800
 
2.0%
equipment 62391
 
1.9%
or 58388
 
1.8%
Other values (2601) 2341359
70.8%
2024-06-24T01:07:04.512251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4810953
20.2%
e 2047996
 
8.6%
a 1402470
 
5.9%
n 1377471
 
5.8%
i 1374476
 
5.8%
t 1358029
 
5.7%
o 1296757
 
5.4%
s 1260899
 
5.3%
r 961680
 
4.0%
d 803669
 
3.4%
Other values (69) 7127869
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23822269
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4810953
20.2%
e 2047996
 
8.6%
a 1402470
 
5.9%
n 1377471
 
5.8%
i 1374476
 
5.8%
t 1358029
 
5.7%
o 1296757
 
5.4%
s 1260899
 
5.3%
r 961680
 
4.0%
d 803669
 
3.4%
Other values (69) 7127869
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23822269
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4810953
20.2%
e 2047996
 
8.6%
a 1402470
 
5.9%
n 1377471
 
5.8%
i 1374476
 
5.8%
t 1358029
 
5.7%
o 1296757
 
5.4%
s 1260899
 
5.3%
r 961680
 
4.0%
d 803669
 
3.4%
Other values (69) 7127869
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23822269
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4810953
20.2%
e 2047996
 
8.6%
a 1402470
 
5.9%
n 1377471
 
5.8%
i 1374476
 
5.8%
t 1358029
 
5.7%
o 1296757
 
5.4%
s 1260899
 
5.3%
r 961680
 
4.0%
d 803669
 
3.4%
Other values (69) 7127869
29.9%

Violation Memo - 2
Text

MISSING 

Distinct39429
Distinct (%)79.2%
Missing29223
Missing (%)37.0%
Memory size6.0 MiB
2024-06-24T01:07:05.232646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length2569
Median length788
Mean length49.679669
Min length1

Characters and Unicode

Total characters2472110
Distinct characters102
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36590 ?
Unique (%)73.5%

Sample

1st rowdust accumulation on the fan covers inside the walk in cooler
2nd row7 dented cans removed from shelf
3rd rowEXPIRED FOOD PRODUCTS REMOVED FROM SHELVES
4th rowMUST REGISTER BY 9/17/18
5th rowObserved rinsing personal coffee mug in hand sink
ValueCountFrequency (%)
in 12633
 
3.0%
the 9284
 
2.2%
food 8244
 
2.0%
on 7785
 
1.9%
and 7117
 
1.7%
of 6998
 
1.7%
clean 6795
 
1.6%
to 5769
 
1.4%
at 5581
 
1.3%
observed 4942
 
1.2%
Other values (10814) 341419
82.0%
2024-06-24T01:07:06.085721image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
388529
 
15.7%
e 185083
 
7.5%
o 126426
 
5.1%
a 113545
 
4.6%
n 107875
 
4.4%
i 107838
 
4.4%
t 107487
 
4.3%
r 103400
 
4.2%
s 99122
 
4.0%
d 68368
 
2.8%
Other values (92) 1064437
43.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2472110
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
388529
 
15.7%
e 185083
 
7.5%
o 126426
 
5.1%
a 113545
 
4.6%
n 107875
 
4.4%
i 107838
 
4.4%
t 107487
 
4.3%
r 103400
 
4.2%
s 99122
 
4.0%
d 68368
 
2.8%
Other values (92) 1064437
43.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2472110
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
388529
 
15.7%
e 185083
 
7.5%
o 126426
 
5.1%
a 113545
 
4.6%
n 107875
 
4.4%
i 107838
 
4.4%
t 107487
 
4.3%
r 103400
 
4.2%
s 99122
 
4.0%
d 68368
 
2.8%
Other values (92) 1064437
43.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2472110
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
388529
 
15.7%
e 185083
 
7.5%
o 126426
 
5.1%
a 113545
 
4.6%
n 107875
 
4.4%
i 107838
 
4.4%
t 107487
 
4.3%
r 103400
 
4.2%
s 99122
 
4.0%
d 68368
 
2.8%
Other values (92) 1064437
43.1%
Distinct614
Distinct (%)1.1%
Missing23071
Missing (%)29.2%
Memory size6.3 MiB
2024-06-24T01:07:06.488930image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length44.732567
Min length12

Characters and Unicode

Total characters2501132
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)0.2%

Sample

1st row*36 Containers of chemical sanitizing solutions stored off the floor and used in a manner that preve
2nd row*24 Food Label- manufacture/packer/distrubtor name
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*45 Premises shall be maintained in good repair
5th row*02 Cold Hold (41øF/45øF or below)
ValueCountFrequency (%)
food 14028
 
3.5%
12052
 
3.0%
in 6378
 
1.6%
not 6263
 
1.6%
and 6028
 
1.5%
or 5502
 
1.4%
on 4492
 
1.1%
site 4440
 
1.1%
equipment 4365
 
1.1%
of 4354
 
1.1%
Other values (1241) 329465
82.9%
2024-06-24T01:07:07.164105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
347221
 
13.9%
e 200063
 
8.0%
o 181098
 
7.2%
n 152172
 
6.1%
t 149801
 
6.0%
i 149762
 
6.0%
a 128443
 
5.1%
s 124336
 
5.0%
r 112363
 
4.5%
d 85679
 
3.4%
Other values (72) 870194
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2501132
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
347221
 
13.9%
e 200063
 
8.0%
o 181098
 
7.2%
n 152172
 
6.1%
t 149801
 
6.0%
i 149762
 
6.0%
a 128443
 
5.1%
s 124336
 
5.0%
r 112363
 
4.5%
d 85679
 
3.4%
Other values (72) 870194
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2501132
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
347221
 
13.9%
e 200063
 
8.0%
o 181098
 
7.2%
n 152172
 
6.1%
t 149801
 
6.0%
i 149762
 
6.0%
a 128443
 
5.1%
s 124336
 
5.0%
r 112363
 
4.5%
d 85679
 
3.4%
Other values (72) 870194
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2501132
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
347221
 
13.9%
e 200063
 
8.0%
o 181098
 
7.2%
n 152172
 
6.1%
t 149801
 
6.0%
i 149762
 
6.0%
a 128443
 
5.1%
s 124336
 
5.0%
r 112363
 
4.5%
d 85679
 
3.4%
Other values (72) 870194
34.8%

Violation Points - 3
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing23071
Missing (%)29.2%
Memory size4.1 MiB
1.0
24818 
2.0
17029 
3.0
14063 
4.0
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters167739
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 24818
31.4%
2.0 17029
21.6%
3.0 14063
17.8%
4.0 3
 
< 0.1%
(Missing) 23071
29.2%

Length

2024-06-24T01:07:07.439456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:07.658769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 24818
44.4%
2.0 17029
30.5%
3.0 14063
25.2%
4.0 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 55913
33.3%
0 55913
33.3%
1 24818
14.8%
2 17029
 
10.2%
3 14063
 
8.4%
4 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 167739
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 55913
33.3%
0 55913
33.3%
1 24818
14.8%
2 17029
 
10.2%
3 14063
 
8.4%
4 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 167739
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 55913
33.3%
0 55913
33.3%
1 24818
14.8%
2 17029
 
10.2%
3 14063
 
8.4%
4 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 167739
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 55913
33.3%
0 55913
33.3%
1 24818
14.8%
2 17029
 
10.2%
3 14063
 
8.4%
4 3
 
< 0.1%

Violation Detail - 3
Text

MISSING 

Distinct629
Distinct (%)1.1%
Missing23599
Missing (%)29.9%
Memory size26.6 MiB
2024-06-24T01:07:08.022238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1043
Median length715
Mean length368.53867
Min length125

Characters and Unicode

Total characters20411514
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)0.2%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (5) containers of chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be stored off the floor and used in a manner that prevents contamination of food, equipment, utensils, linens, single-service, or single-use articles. .
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (D) the name and place of business of the manufacturer, packer, or distributor; and
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
ValueCountFrequency (%)
and 152578
 
5.4%
food 120056
 
4.2%
of 96254
 
3.4%
the 95777
 
3.4%
a 78454
 
2.8%
shall 63741
 
2.3%
in 62129
 
2.2%
be 55667
 
2.0%
equipment 51907
 
1.8%
or 49996
 
1.8%
Other values (2630) 2006306
70.8%
2024-06-24T01:07:08.792282image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4125696
20.2%
e 1758967
 
8.6%
a 1197062
 
5.9%
i 1184481
 
5.8%
n 1177620
 
5.8%
t 1159894
 
5.7%
o 1109265
 
5.4%
s 1084938
 
5.3%
r 826741
 
4.1%
d 685316
 
3.4%
Other values (66) 6101534
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20411514
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
4125696
20.2%
e 1758967
 
8.6%
a 1197062
 
5.9%
i 1184481
 
5.8%
n 1177620
 
5.8%
t 1159894
 
5.7%
o 1109265
 
5.4%
s 1084938
 
5.3%
r 826741
 
4.1%
d 685316
 
3.4%
Other values (66) 6101534
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20411514
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
4125696
20.2%
e 1758967
 
8.6%
a 1197062
 
5.9%
i 1184481
 
5.8%
n 1177620
 
5.8%
t 1159894
 
5.7%
o 1109265
 
5.4%
s 1084938
 
5.3%
r 826741
 
4.1%
d 685316
 
3.4%
Other values (66) 6101534
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20411514
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
4125696
20.2%
e 1758967
 
8.6%
a 1197062
 
5.9%
i 1184481
 
5.8%
n 1177620
 
5.8%
t 1159894
 
5.7%
o 1109265
 
5.4%
s 1084938
 
5.3%
r 826741
 
4.1%
d 685316
 
3.4%
Other values (66) 6101534
29.9%

Violation Memo - 3
Text

MISSING 

Distinct34394
Distinct (%)80.0%
Missing35999
Missing (%)45.6%
Memory size5.5 MiB
2024-06-24T01:07:09.334767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length2397
Median length779
Mean length49.801931
Min length1

Characters and Unicode

Total characters2140736
Distinct characters106
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32010 ?
Unique (%)74.5%

Sample

1st rowFOOD PRODUCTS NOT PACKAGED FOR RESALE BEING SOLD
2nd rowCLEAN ALL
3rd rowdish washer
4th rowObserved frozen berries and chicken patties thawing in bags on prep table at ambient temperature. When thawing foods, use refrigeration or completely submerge under cool running water
5th rowHeimlich maneuver sign SEC. 17-11.2. ADDITIONAL REQUIREMENTS. (a) General. All food establishments that provide dining areas shall post the Heimlich maneuver sign in a place conspicuous to employees and customers. (b) Specifications: The sign shall: (1) be no smaller than 11 inches wide by 17 inches long; (2) be printed in English and Spanish and in at least two conspicuous contrasting colors on a white background; (3) provide major title and figure blocks in contrasting color to remaining copy blocks; (4) provide major headings with a minimum bold 72 point font; (5) provide initial subheadings with a minimum bold italic 60 point font; (6) provide secondary subheadings with a minimum bold 24 point font; and (7) provide a body copy in bold 14 point font.
ValueCountFrequency (%)
in 11452
 
3.2%
the 8306
 
2.3%
food 7456
 
2.1%
on 6665
 
1.9%
and 5891
 
1.6%
of 5876
 
1.6%
clean 5607
 
1.6%
to 5087
 
1.4%
at 4388
 
1.2%
provide 4130
 
1.1%
Other values (9663) 294433
81.9%
2024-06-24T01:07:10.148625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338317
 
15.8%
e 158135
 
7.4%
o 110372
 
5.2%
a 96550
 
4.5%
n 93649
 
4.4%
i 92863
 
4.3%
t 92440
 
4.3%
r 88655
 
4.1%
s 86727
 
4.1%
E 58658
 
2.7%
Other values (96) 924370
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2140736
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
338317
 
15.8%
e 158135
 
7.4%
o 110372
 
5.2%
a 96550
 
4.5%
n 93649
 
4.4%
i 92863
 
4.3%
t 92440
 
4.3%
r 88655
 
4.1%
s 86727
 
4.1%
E 58658
 
2.7%
Other values (96) 924370
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2140736
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
338317
 
15.8%
e 158135
 
7.4%
o 110372
 
5.2%
a 96550
 
4.5%
n 93649
 
4.4%
i 92863
 
4.3%
t 92440
 
4.3%
r 88655
 
4.1%
s 86727
 
4.1%
E 58658
 
2.7%
Other values (96) 924370
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2140736
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
338317
 
15.8%
e 158135
 
7.4%
o 110372
 
5.2%
a 96550
 
4.5%
n 93649
 
4.4%
i 92863
 
4.3%
t 92440
 
4.3%
r 88655
 
4.1%
s 86727
 
4.1%
E 58658
 
2.7%
Other values (96) 924370
43.2%
Distinct587
Distinct (%)1.2%
Missing31954
Missing (%)40.5%
Memory size5.7 MiB
2024-06-24T01:07:10.569081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.009824
Min length12

Characters and Unicode

Total characters2116812
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)0.2%

Sample

1st row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
2nd row*10 Clean Sight and Touch
3rd row*39 Cups may be reused if free of contamination
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*19 No Hot Water / Water heater 50 gallon min.
ValueCountFrequency (%)
food 11879
 
3.5%
9630
 
2.9%
in 5442
 
1.6%
or 4911
 
1.5%
not 4875
 
1.5%
and 4784
 
1.4%
of 3894
 
1.2%
equipment 3747
 
1.1%
for 3714
 
1.1%
42 3543
 
1.1%
Other values (1214) 278467
83.2%
2024-06-24T01:07:11.276198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292557
 
13.8%
e 169496
 
8.0%
o 153098
 
7.2%
n 128914
 
6.1%
i 128364
 
6.1%
t 125704
 
5.9%
a 107352
 
5.1%
s 106689
 
5.0%
r 95855
 
4.5%
d 71936
 
3.4%
Other values (72) 736847
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2116812
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
292557
 
13.8%
e 169496
 
8.0%
o 153098
 
7.2%
n 128914
 
6.1%
i 128364
 
6.1%
t 125704
 
5.9%
a 107352
 
5.1%
s 106689
 
5.0%
r 95855
 
4.5%
d 71936
 
3.4%
Other values (72) 736847
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2116812
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
292557
 
13.8%
e 169496
 
8.0%
o 153098
 
7.2%
n 128914
 
6.1%
i 128364
 
6.1%
t 125704
 
5.9%
a 107352
 
5.1%
s 106689
 
5.0%
r 95855
 
4.5%
d 71936
 
3.4%
Other values (72) 736847
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2116812
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
292557
 
13.8%
e 169496
 
8.0%
o 153098
 
7.2%
n 128914
 
6.1%
i 128364
 
6.1%
t 125704
 
5.9%
a 107352
 
5.1%
s 106689
 
5.0%
r 95855
 
4.5%
d 71936
 
3.4%
Other values (72) 736847
34.8%

Violation Points - 4
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing31954
Missing (%)40.5%
Memory size3.9 MiB
1.0
22446 
2.0
13894 
3.0
10690 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters141090
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 22446
28.4%
2.0 13894
17.6%
3.0 10690
 
13.5%
(Missing) 31954
40.5%

Length

2024-06-24T01:07:11.551771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:11.758918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 22446
47.7%
2.0 13894
29.5%
3.0 10690
22.7%

Most occurring characters

ValueCountFrequency (%)
. 47030
33.3%
0 47030
33.3%
1 22446
15.9%
2 13894
 
9.8%
3 10690
 
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 141090
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 47030
33.3%
0 47030
33.3%
1 22446
15.9%
2 13894
 
9.8%
3 10690
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 141090
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 47030
33.3%
0 47030
33.3%
1 22446
15.9%
2 13894
 
9.8%
3 10690
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 141090
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 47030
33.3%
0 47030
33.3%
1 22446
15.9%
2 13894
 
9.8%
3 10690
 
7.6%

Violation Detail - 4
Text

MISSING 

Distinct598
Distinct (%)1.3%
Missing32454
Missing (%)41.1%
Memory size22.7 MiB
2024-06-24T01:07:12.135794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1018
Median length724
Mean length367.94657
Min length125

Characters and Unicode

Total characters17120554
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)0.2%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (5) in a clean, protected location if the utensils, such as ice scoops, are used only with a food that is not TCS; or
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (f) Using clean tableware for second portions and refills. (3) Drinking cups and containers may be reused by self-service consumers if refilling is a contamination-free process as specified in õ228.106(1), (2), and (4) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th rowSEC. 17-5.2. ADDITIONAL REQUIREMENTS. (b) Hot water. Hot water generation and distribution systems must be sufficient to meet the peak hot water demands throughout the food establishment. Such systems must be of not less than 50-gallon water tank capacity.
ValueCountFrequency (%)
and 127785
 
5.4%
food 100269
 
4.2%
of 81234
 
3.4%
the 79601
 
3.4%
a 65114
 
2.7%
shall 53309
 
2.2%
in 52471
 
2.2%
be 46812
 
2.0%
equipment 43634
 
1.8%
or 42619
 
1.8%
Other values (2613) 1682606
70.8%
2024-06-24T01:07:12.900829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3465164
20.2%
e 1476894
 
8.6%
a 999035
 
5.8%
i 997340
 
5.8%
n 989396
 
5.8%
t 971067
 
5.7%
o 932017
 
5.4%
s 912783
 
5.3%
r 693335
 
4.0%
d 573019
 
3.3%
Other values (67) 5110504
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17120554
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3465164
20.2%
e 1476894
 
8.6%
a 999035
 
5.8%
i 997340
 
5.8%
n 989396
 
5.8%
t 971067
 
5.7%
o 932017
 
5.4%
s 912783
 
5.3%
r 693335
 
4.0%
d 573019
 
3.3%
Other values (67) 5110504
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17120554
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3465164
20.2%
e 1476894
 
8.6%
a 999035
 
5.8%
i 997340
 
5.8%
n 989396
 
5.8%
t 971067
 
5.7%
o 932017
 
5.4%
s 912783
 
5.3%
r 693335
 
4.0%
d 573019
 
3.3%
Other values (67) 5110504
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17120554
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3465164
20.2%
e 1476894
 
8.6%
a 999035
 
5.8%
i 997340
 
5.8%
n 989396
 
5.8%
t 971067
 
5.7%
o 932017
 
5.4%
s 912783
 
5.3%
r 693335
 
4.0%
d 573019
 
3.3%
Other values (67) 5110504
29.9%

Violation Memo - 4
Text

MISSING 

Distinct29219
Distinct (%)80.3%
Missing42581
Missing (%)53.9%
Memory size5.0 MiB
2024-06-24T01:07:13.445953image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length3214
Median length757
Mean length49.435349
Min length1

Characters and Unicode

Total characters1799595
Distinct characters103
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27154 ?
Unique (%)74.6%

Sample

1st rowCLEAN ALL
2nd rowProvide date marking for the chicken and ham
3rd rowFix leak underneath 3 comp. sink
4th rowwet wiping cloth shall be stored in sanitizer bucket
5th rowhealth permit not posted
ValueCountFrequency (%)
in 9939
 
3.3%
the 6912
 
2.3%
food 6412
 
2.1%
on 5512
 
1.8%
and 5025
 
1.7%
clean 4840
 
1.6%
of 4686
 
1.6%
to 4100
 
1.4%
provide 3659
 
1.2%
at 3569
 
1.2%
Other values (8681) 247255
81.9%
2024-06-24T01:07:14.271598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287219
 
16.0%
e 131970
 
7.3%
o 93291
 
5.2%
a 80625
 
4.5%
n 78555
 
4.4%
i 77124
 
4.3%
t 77045
 
4.3%
r 74849
 
4.2%
s 72272
 
4.0%
E 49392
 
2.7%
Other values (93) 777253
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1799595
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
287219
 
16.0%
e 131970
 
7.3%
o 93291
 
5.2%
a 80625
 
4.5%
n 78555
 
4.4%
i 77124
 
4.3%
t 77045
 
4.3%
r 74849
 
4.2%
s 72272
 
4.0%
E 49392
 
2.7%
Other values (93) 777253
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1799595
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
287219
 
16.0%
e 131970
 
7.3%
o 93291
 
5.2%
a 80625
 
4.5%
n 78555
 
4.4%
i 77124
 
4.3%
t 77045
 
4.3%
r 74849
 
4.2%
s 72272
 
4.0%
E 49392
 
2.7%
Other values (93) 777253
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1799595
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
287219
 
16.0%
e 131970
 
7.3%
o 93291
 
5.2%
a 80625
 
4.5%
n 78555
 
4.4%
i 77124
 
4.3%
t 77045
 
4.3%
r 74849
 
4.2%
s 72272
 
4.0%
E 49392
 
2.7%
Other values (93) 777253
43.2%
Distinct562
Distinct (%)1.4%
Missing40179
Missing (%)50.9%
Memory size5.1 MiB
2024-06-24T01:07:14.661654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.468496
Min length12

Characters and Unicode

Total characters1764405
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)0.3%

Sample

1st row*44 Trash can provided for papertowel waste
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*03 Food products not maintained at 135øF or above
4th row*20 Grease Trap Tickets
5th row*33 Mech. warewash, hot water sanitizing, other machines
ValueCountFrequency (%)
food 10176
 
3.7%
7875
 
2.8%
in 4562
 
1.6%
or 4263
 
1.5%
and 3869
 
1.4%
not 3740
 
1.3%
of 3305
 
1.2%
for 3170
 
1.1%
equipment 3047
 
1.1%
the 3017
 
1.1%
Other values (1162) 231688
83.1%
2024-06-24T01:07:15.455469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243723
 
13.8%
e 141647
 
8.0%
o 128540
 
7.3%
n 107413
 
6.1%
i 107015
 
6.1%
t 104253
 
5.9%
s 90290
 
5.1%
a 89386
 
5.1%
r 80374
 
4.6%
d 60003
 
3.4%
Other values (73) 611761
34.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1764405
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
243723
 
13.8%
e 141647
 
8.0%
o 128540
 
7.3%
n 107413
 
6.1%
i 107015
 
6.1%
t 104253
 
5.9%
s 90290
 
5.1%
a 89386
 
5.1%
r 80374
 
4.6%
d 60003
 
3.4%
Other values (73) 611761
34.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1764405
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
243723
 
13.8%
e 141647
 
8.0%
o 128540
 
7.3%
n 107413
 
6.1%
i 107015
 
6.1%
t 104253
 
5.9%
s 90290
 
5.1%
a 89386
 
5.1%
r 80374
 
4.6%
d 60003
 
3.4%
Other values (73) 611761
34.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1764405
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
243723
 
13.8%
e 141647
 
8.0%
o 128540
 
7.3%
n 107413
 
6.1%
i 107015
 
6.1%
t 104253
 
5.9%
s 90290
 
5.1%
a 89386
 
5.1%
r 80374
 
4.6%
d 60003
 
3.4%
Other values (73) 611761
34.7%

Violation Points - 5
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing40179
Missing (%)50.9%
Memory size3.8 MiB
1.0
19463 
2.0
10996 
3.0
8345 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters116415
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 19463
24.6%
2.0 10996
 
13.9%
3.0 8345
 
10.6%
4.0 1
 
< 0.1%
(Missing) 40179
50.9%

Length

2024-06-24T01:07:15.803944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:16.181935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 19463
50.2%
2.0 10996
28.3%
3.0 8345
21.5%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 38805
33.3%
0 38805
33.3%
1 19463
16.7%
2 10996
 
9.4%
3 8345
 
7.2%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 116415
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 38805
33.3%
0 38805
33.3%
1 19463
16.7%
2 10996
 
9.4%
3 8345
 
7.2%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 116415
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 38805
33.3%
0 38805
33.3%
1 19463
16.7%
2 10996
 
9.4%
3 8345
 
7.2%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 116415
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 38805
33.3%
0 38805
33.3%
1 19463
16.7%
2 10996
 
9.4%
3 8345
 
7.2%
4 1
 
< 0.1%

Violation Detail - 5
Text

MISSING 

Distinct567
Distinct (%)1.5%
Missing40658
Missing (%)51.5%
Memory size19.0 MiB
2024-06-24T01:07:16.794143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length703
Mean length366.92402
Min length125

Characters and Unicode

Total characters14062730
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)0.3%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
4th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
5th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (l) Mechanical warewashing equipment, hot water sanitization temperatures. (1) Except as specified in paragraph (2) of this subsection, in a mechanical operation, the temperature of the fresh hot water sanitizing rinse as it enters the manifold may not be more than 90 degrees Celsius (194 degrees Fahrenheit), or less than: (B) for all other machines, 82 degrees Celsius (180 degrees Fahrenheit).
ValueCountFrequency (%)
and 105006
 
5.4%
food 82523
 
4.2%
of 66419
 
3.4%
the 65155
 
3.3%
a 53432
 
2.7%
shall 43786
 
2.2%
in 42715
 
2.2%
be 38903
 
2.0%
or 35466
 
1.8%
equipment 35315
 
1.8%
Other values (2489) 1381647
70.8%
2024-06-24T01:07:18.523287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2859066
20.3%
e 1207604
 
8.6%
i 819235
 
5.8%
a 819230
 
5.8%
n 811429
 
5.8%
t 795892
 
5.7%
o 767604
 
5.5%
s 750916
 
5.3%
r 566049
 
4.0%
d 470424
 
3.3%
Other values (67) 4195281
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 14062730
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2859066
20.3%
e 1207604
 
8.6%
i 819235
 
5.8%
a 819230
 
5.8%
n 811429
 
5.8%
t 795892
 
5.7%
o 767604
 
5.5%
s 750916
 
5.3%
r 566049
 
4.0%
d 470424
 
3.3%
Other values (67) 4195281
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 14062730
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2859066
20.3%
e 1207604
 
8.6%
i 819235
 
5.8%
a 819230
 
5.8%
n 811429
 
5.8%
t 795892
 
5.7%
o 767604
 
5.5%
s 750916
 
5.3%
r 566049
 
4.0%
d 470424
 
3.3%
Other values (67) 4195281
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 14062730
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2859066
20.3%
e 1207604
 
8.6%
i 819235
 
5.8%
a 819230
 
5.8%
n 811429
 
5.8%
t 795892
 
5.7%
o 767604
 
5.5%
s 750916
 
5.3%
r 566049
 
4.0%
d 470424
 
3.3%
Other values (67) 4195281
29.8%

Violation Memo - 5
Text

MISSING 

Distinct24538
Distinct (%)81.1%
Missing48712
Missing (%)61.7%
Memory size4.6 MiB
2024-06-24T01:07:19.305650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1823
Median length724
Mean length49.328488
Min length2

Characters and Unicode

Total characters1493272
Distinct characters101
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22855 ?
Unique (%)75.5%

Sample

1st rowPROVIDE FOR ALL
2nd rowBrisket : 131'f
3rd rowNeed grease trap tix within 90 days.
4th rowdish washer 120 degrees f
5th rowBroken microwave. Panel loose on reach in cooler.
ValueCountFrequency (%)
in 8408
 
3.4%
the 5739
 
2.3%
food 5372
 
2.1%
on 4471
 
1.8%
and 4209
 
1.7%
clean 4062
 
1.6%
of 3813
 
1.5%
to 3322
 
1.3%
provide 3119
 
1.2%
all 2957
 
1.2%
Other values (7789) 205099
81.9%
2024-06-24T01:07:20.675352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233455
 
15.6%
e 108117
 
7.2%
o 77176
 
5.2%
a 66096
 
4.4%
n 64790
 
4.3%
i 63725
 
4.3%
t 63304
 
4.2%
r 61648
 
4.1%
s 59588
 
4.0%
E 42172
 
2.8%
Other values (91) 653201
43.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1493272
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
233455
 
15.6%
e 108117
 
7.2%
o 77176
 
5.2%
a 66096
 
4.4%
n 64790
 
4.3%
i 63725
 
4.3%
t 63304
 
4.2%
r 61648
 
4.1%
s 59588
 
4.0%
E 42172
 
2.8%
Other values (91) 653201
43.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1493272
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
233455
 
15.6%
e 108117
 
7.2%
o 77176
 
5.2%
a 66096
 
4.4%
n 64790
 
4.3%
i 63725
 
4.3%
t 63304
 
4.2%
r 61648
 
4.1%
s 59588
 
4.0%
E 42172
 
2.8%
Other values (91) 653201
43.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1493272
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
233455
 
15.6%
e 108117
 
7.2%
o 77176
 
5.2%
a 66096
 
4.4%
n 64790
 
4.3%
i 63725
 
4.3%
t 63304
 
4.2%
r 61648
 
4.1%
s 59588
 
4.0%
E 42172
 
2.8%
Other values (91) 653201
43.7%
Distinct553
Distinct (%)1.8%
Missing47592
Missing (%)60.3%
Memory size4.6 MiB
2024-06-24T01:07:21.390487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.644495
Min length12

Characters and Unicode

Total characters1432872
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique115 ?
Unique (%)0.4%

Sample

1st row*34 Outer openings:closing holes, gaps
2nd row*20 Grease Trap Tickets
3rd row*22 Handlers-Certificate Not On Site
4th row*42 Dirty nonfood contact surfaces
5th row*36 Cloths in-use for wiping between uses stored
ValueCountFrequency (%)
food 8470
 
3.8%
6008
 
2.7%
in 3645
 
1.6%
or 3540
 
1.6%
and 3170
 
1.4%
not 2828
 
1.3%
of 2727
 
1.2%
for 2641
 
1.2%
equipment 2542
 
1.1%
the 2383
 
1.1%
Other values (1168) 187648
83.2%
2024-06-24T01:07:22.572540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197255
 
13.8%
e 115102
 
8.0%
o 104923
 
7.3%
n 87988
 
6.1%
i 86993
 
6.1%
t 84668
 
5.9%
s 74131
 
5.2%
a 71909
 
5.0%
r 65419
 
4.6%
d 48969
 
3.4%
Other values (72) 495515
34.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1432872
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
197255
 
13.8%
e 115102
 
8.0%
o 104923
 
7.3%
n 87988
 
6.1%
i 86993
 
6.1%
t 84668
 
5.9%
s 74131
 
5.2%
a 71909
 
5.0%
r 65419
 
4.6%
d 48969
 
3.4%
Other values (72) 495515
34.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1432872
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
197255
 
13.8%
e 115102
 
8.0%
o 104923
 
7.3%
n 87988
 
6.1%
i 86993
 
6.1%
t 84668
 
5.9%
s 74131
 
5.2%
a 71909
 
5.0%
r 65419
 
4.6%
d 48969
 
3.4%
Other values (72) 495515
34.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1432872
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
197255
 
13.8%
e 115102
 
8.0%
o 104923
 
7.3%
n 87988
 
6.1%
i 86993
 
6.1%
t 84668
 
5.9%
s 74131
 
5.2%
a 71909
 
5.0%
r 65419
 
4.6%
d 48969
 
3.4%
Other values (72) 495515
34.6%

Violation Points - 6
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing47592
Missing (%)60.3%
Memory size3.6 MiB
1.0
16422 
2.0
8297 
3.0
6673 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters94176
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 16422
 
20.8%
2.0 8297
 
10.5%
3.0 6673
 
8.4%
(Missing) 47592
60.3%

Length

2024-06-24T01:07:22.841176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:23.088959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 16422
52.3%
2.0 8297
26.4%
3.0 6673
21.3%

Most occurring characters

ValueCountFrequency (%)
. 31392
33.3%
0 31392
33.3%
1 16422
17.4%
2 8297
 
8.8%
3 6673
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 94176
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 31392
33.3%
0 31392
33.3%
1 16422
17.4%
2 8297
 
8.8%
3 6673
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 94176
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 31392
33.3%
0 31392
33.3%
1 16422
17.4%
2 8297
 
8.8%
3 6673
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 94176
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 31392
33.3%
0 31392
33.3%
1 16422
17.4%
2 8297
 
8.8%
3 6673
 
7.1%

Violation Detail - 6
Text

MISSING 

Distinct558
Distinct (%)1.8%
Missing47986
Missing (%)60.8%
Memory size15.9 MiB
2024-06-24T01:07:23.494209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1018
Median length727
Mean length366.29386
Min length125

Characters and Unicode

Total characters11354377
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)0.4%

Sample

1st row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
ValueCountFrequency (%)
and 85642
 
5.4%
food 65517
 
4.2%
of 53851
 
3.4%
the 50918
 
3.2%
a 42725
 
2.7%
shall 35182
 
2.2%
in 34449
 
2.2%
be 31371
 
2.0%
equipment 29066
 
1.8%
or 28536
 
1.8%
Other values (2502) 1115211
70.9%
2024-06-24T01:07:24.289625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2312479
20.4%
e 971037
 
8.6%
i 664013
 
5.8%
n 659453
 
5.8%
a 658710
 
5.8%
t 641116
 
5.6%
o 619744
 
5.5%
s 609449
 
5.4%
r 453998
 
4.0%
d 378011
 
3.3%
Other values (66) 3386367
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11354377
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2312479
20.4%
e 971037
 
8.6%
i 664013
 
5.8%
n 659453
 
5.8%
a 658710
 
5.8%
t 641116
 
5.6%
o 619744
 
5.5%
s 609449
 
5.4%
r 453998
 
4.0%
d 378011
 
3.3%
Other values (66) 3386367
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11354377
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2312479
20.4%
e 971037
 
8.6%
i 664013
 
5.8%
n 659453
 
5.8%
a 658710
 
5.8%
t 641116
 
5.6%
o 619744
 
5.5%
s 609449
 
5.4%
r 453998
 
4.0%
d 378011
 
3.3%
Other values (66) 3386367
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11354377
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2312479
20.4%
e 971037
 
8.6%
i 664013
 
5.8%
n 659453
 
5.8%
a 658710
 
5.8%
t 641116
 
5.6%
o 619744
 
5.5%
s 609449
 
5.4%
r 453998
 
4.0%
d 378011
 
3.3%
Other values (66) 3386367
29.8%

Violation Memo - 6
Text

MISSING 

Distinct20049
Distinct (%)81.2%
Missing54293
Missing (%)68.7%
Memory size4.2 MiB
2024-06-24T01:07:24.807325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1665
Median length667
Mean length49.17958
Min length1

Characters and Unicode

Total characters1214293
Distinct characters105
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18728 ?
Unique (%)75.8%

Sample

1st rowSEAL ALL HOLES AND GAPS
2nd rowHave food handler cards from employees by next visit.
3rd rowclean cappuccino machine
4th rowMoist mop cloth stored on cutting board portion of reach in cooler. When not in employee's hands, such mop cloths should be stored in sanitizing solution. Such moist environments with food particles may act as an environment for pathogen growth.
5th rowapply for change of ownership - new owner 3-20634-3255-6
ValueCountFrequency (%)
in 6930
 
3.4%
the 4616
 
2.3%
food 4475
 
2.2%
on 3591
 
1.8%
and 3548
 
1.7%
clean 3464
 
1.7%
of 3050
 
1.5%
to 2734
 
1.3%
provide 2642
 
1.3%
all 2485
 
1.2%
Other values (6966) 166335
81.6%
2024-06-24T01:07:25.652399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188741
 
15.5%
e 87056
 
7.2%
o 63073
 
5.2%
a 53103
 
4.4%
n 52565
 
4.3%
i 51333
 
4.2%
t 50628
 
4.2%
r 50222
 
4.1%
s 47902
 
3.9%
E 35086
 
2.9%
Other values (95) 534584
44.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1214293
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
188741
 
15.5%
e 87056
 
7.2%
o 63073
 
5.2%
a 53103
 
4.4%
n 52565
 
4.3%
i 51333
 
4.2%
t 50628
 
4.2%
r 50222
 
4.1%
s 47902
 
3.9%
E 35086
 
2.9%
Other values (95) 534584
44.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1214293
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
188741
 
15.5%
e 87056
 
7.2%
o 63073
 
5.2%
a 53103
 
4.4%
n 52565
 
4.3%
i 51333
 
4.2%
t 50628
 
4.2%
r 50222
 
4.1%
s 47902
 
3.9%
E 35086
 
2.9%
Other values (95) 534584
44.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1214293
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
188741
 
15.5%
e 87056
 
7.2%
o 63073
 
5.2%
a 53103
 
4.4%
n 52565
 
4.3%
i 51333
 
4.2%
t 50628
 
4.2%
r 50222
 
4.1%
s 47902
 
3.9%
E 35086
 
2.9%
Other values (95) 534584
44.0%
Distinct497
Distinct (%)2.0%
Missing54155
Missing (%)68.6%
Memory size4.2 MiB
2024-06-24T01:07:26.028193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.988441
Min length12

Characters and Unicode

Total characters1141847
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)0.4%

Sample

1st row*35 Hair Restraints effective
2nd row*28 Date marking commercially prepared RTE/ TCS food
3rd row*47 Conditions of Permit-in use of food equipment
4th row*10 Equipment and Utensils Sanitization
5th row*38 Thawing. under running water criteria - water velocity
ValueCountFrequency (%)
food 7044
 
3.9%
4598
 
2.6%
in 2987
 
1.7%
or 2924
 
1.6%
and 2374
 
1.3%
of 2247
 
1.2%
not 2182
 
1.2%
for 2095
 
1.2%
the 2051
 
1.1%
equipment 1893
 
1.1%
Other values (1094) 149412
83.1%
2024-06-24T01:07:26.660458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157477
13.8%
e 91863
 
8.0%
o 84599
 
7.4%
n 69936
 
6.1%
i 69519
 
6.1%
t 67184
 
5.9%
s 59605
 
5.2%
a 57382
 
5.0%
r 52555
 
4.6%
d 39027
 
3.4%
Other values (71) 392700
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1141847
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
157477
13.8%
e 91863
 
8.0%
o 84599
 
7.4%
n 69936
 
6.1%
i 69519
 
6.1%
t 67184
 
5.9%
s 59605
 
5.2%
a 57382
 
5.0%
r 52555
 
4.6%
d 39027
 
3.4%
Other values (71) 392700
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1141847
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
157477
13.8%
e 91863
 
8.0%
o 84599
 
7.4%
n 69936
 
6.1%
i 69519
 
6.1%
t 67184
 
5.9%
s 59605
 
5.2%
a 57382
 
5.0%
r 52555
 
4.6%
d 39027
 
3.4%
Other values (71) 392700
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1141847
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
157477
13.8%
e 91863
 
8.0%
o 84599
 
7.4%
n 69936
 
6.1%
i 69519
 
6.1%
t 67184
 
5.9%
s 59605
 
5.2%
a 57382
 
5.0%
r 52555
 
4.6%
d 39027
 
3.4%
Other values (71) 392700
34.4%

Violation Points - 7
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing54155
Missing (%)68.6%
Memory size3.5 MiB
1.0
13313 
2.0
6234 
3.0
5281 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters74487
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 13313
 
16.9%
2.0 6234
 
7.9%
3.0 5281
 
6.7%
4.0 1
 
< 0.1%
(Missing) 54155
68.6%

Length

2024-06-24T01:07:26.912554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:27.156325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 13313
53.6%
2.0 6234
25.1%
3.0 5281
 
21.3%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 24829
33.3%
0 24829
33.3%
1 13313
17.9%
2 6234
 
8.4%
3 5281
 
7.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 74487
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 24829
33.3%
0 24829
33.3%
1 13313
17.9%
2 6234
 
8.4%
3 5281
 
7.1%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 74487
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 24829
33.3%
0 24829
33.3%
1 13313
17.9%
2 6234
 
8.4%
3 5281
 
7.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 74487
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 24829
33.3%
0 24829
33.3%
1 13313
17.9%
2 6234
 
8.4%
3 5281
 
7.1%
4 1
 
< 0.1%

Violation Detail - 7
Text

MISSING 

Distinct501
Distinct (%)2.0%
Missing54488
Missing (%)69.0%
Memory size13.0 MiB
2024-06-24T01:07:27.514078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1018
Median length695
Mean length364.96755
Min length125

Characters and Unicode

Total characters8940245
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)0.4%

Sample

1st row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
2nd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
3rd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
4th row228.118 Equipment, Utensils, and Linens. Sanitization Methods, Hot Water and Chemicals. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (1) hot water manual operations by immersion for at least 30 seconds and as specified in õ228.111(k) of this title;
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
ValueCountFrequency (%)
and 67273
 
5.4%
food 51636
 
4.2%
of 41981
 
3.4%
the 39630
 
3.2%
a 33483
 
2.7%
shall 27674
 
2.2%
in 26849
 
2.2%
be 24738
 
2.0%
equipment 22771
 
1.8%
or 22753
 
1.8%
Other values (2301) 878182
71.0%
2024-06-24T01:07:28.216366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1825185
20.4%
e 763448
 
8.5%
i 522330
 
5.8%
n 519848
 
5.8%
a 519016
 
5.8%
t 503390
 
5.6%
o 488673
 
5.5%
s 479091
 
5.4%
r 357847
 
4.0%
d 296890
 
3.3%
Other values (65) 2664527
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8940245
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1825185
20.4%
e 763448
 
8.5%
i 522330
 
5.8%
n 519848
 
5.8%
a 519016
 
5.8%
t 503390
 
5.6%
o 488673
 
5.5%
s 479091
 
5.4%
r 357847
 
4.0%
d 296890
 
3.3%
Other values (65) 2664527
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8940245
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1825185
20.4%
e 763448
 
8.5%
i 522330
 
5.8%
n 519848
 
5.8%
a 519016
 
5.8%
t 503390
 
5.6%
o 488673
 
5.5%
s 479091
 
5.4%
r 357847
 
4.0%
d 296890
 
3.3%
Other values (65) 2664527
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8940245
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1825185
20.4%
e 763448
 
8.5%
i 522330
 
5.8%
n 519848
 
5.8%
a 519016
 
5.8%
t 503390
 
5.6%
o 488673
 
5.5%
s 479091
 
5.4%
r 357847
 
4.0%
d 296890
 
3.3%
Other values (65) 2664527
29.8%

Violation Memo - 7
Text

MISSING 

Distinct16155
Distinct (%)81.5%
Missing59172
Missing (%)74.9%
Memory size3.8 MiB
2024-06-24T01:07:28.831319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1837
Median length556
Mean length49.181809
Min length2

Characters and Unicode

Total characters974390
Distinct characters99
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15100 ?
Unique (%)76.2%

Sample

1st rowPROVIDE FOR ALL EMPLOYEES
2nd rowDate mark salads.
3rd rowprovide a sign about inspection report
4th rowNo sanitizer prepared at time of inspection. Employees seemed confused as to what sanitizer was. Please make proper preparation of Chlorine (bleach) as part of opening procedures. Please follow manufacturer's directions. Sanitizing solution for bleach should be between 50ppm and 100ppm. Please use test strips to verify proper sanitizer concentration.
5th rowwings thawing at RT
ValueCountFrequency (%)
in 5439
 
3.3%
food 3668
 
2.2%
the 3592
 
2.2%
on 2911
 
1.8%
and 2894
 
1.8%
clean 2763
 
1.7%
of 2306
 
1.4%
all 2216
 
1.4%
to 2181
 
1.3%
provide 2142
 
1.3%
Other values (6122) 133132
81.6%
2024-06-24T01:07:29.733091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153653
 
15.8%
e 68460
 
7.0%
o 50616
 
5.2%
a 42677
 
4.4%
n 42327
 
4.3%
i 40813
 
4.2%
t 40340
 
4.1%
r 39867
 
4.1%
s 38884
 
4.0%
E 28158
 
2.9%
Other values (89) 428595
44.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 974390
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
153653
 
15.8%
e 68460
 
7.0%
o 50616
 
5.2%
a 42677
 
4.4%
n 42327
 
4.3%
i 40813
 
4.2%
t 40340
 
4.1%
r 39867
 
4.1%
s 38884
 
4.0%
E 28158
 
2.9%
Other values (89) 428595
44.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 974390
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
153653
 
15.8%
e 68460
 
7.0%
o 50616
 
5.2%
a 42677
 
4.4%
n 42327
 
4.3%
i 40813
 
4.2%
t 40340
 
4.1%
r 39867
 
4.1%
s 38884
 
4.0%
E 28158
 
2.9%
Other values (89) 428595
44.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 974390
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
153653
 
15.8%
e 68460
 
7.0%
o 50616
 
5.2%
a 42677
 
4.4%
n 42327
 
4.3%
i 40813
 
4.2%
t 40340
 
4.1%
r 39867
 
4.1%
s 38884
 
4.0%
E 28158
 
2.9%
Other values (89) 428595
44.0%
Distinct481
Distinct (%)2.5%
Missing59822
Missing (%)75.7%
Memory size3.8 MiB
2024-06-24T01:07:30.106171image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length45.937585
Min length12

Characters and Unicode

Total characters880256
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)0.6%

Sample

1st row*25 Controlling pests. The presence of insects, rodents, and other pests shall be controlled to elim
2nd row*30 Does Establishment have a current valid permit posted?
3rd row*30 Food Establishment Permit
4th row*45 Premises:Cleaning, frequency and restrictions
5th row*21 RFSM - Not On Site
ValueCountFrequency (%)
food 5410
 
3.9%
3566
 
2.6%
in 2382
 
1.7%
or 2292
 
1.7%
and 1828
 
1.3%
not 1707
 
1.2%
of 1669
 
1.2%
for 1645
 
1.2%
the 1597
 
1.2%
42 1504
 
1.1%
Other values (1062) 114825
83.0%
2024-06-24T01:07:30.723073image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121161
 
13.8%
e 70355
 
8.0%
o 65416
 
7.4%
n 54250
 
6.2%
i 53544
 
6.1%
t 51698
 
5.9%
s 46032
 
5.2%
a 44246
 
5.0%
r 40334
 
4.6%
d 30267
 
3.4%
Other values (71) 302953
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 880256
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
121161
 
13.8%
e 70355
 
8.0%
o 65416
 
7.4%
n 54250
 
6.2%
i 53544
 
6.1%
t 51698
 
5.9%
s 46032
 
5.2%
a 44246
 
5.0%
r 40334
 
4.6%
d 30267
 
3.4%
Other values (71) 302953
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 880256
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
121161
 
13.8%
e 70355
 
8.0%
o 65416
 
7.4%
n 54250
 
6.2%
i 53544
 
6.1%
t 51698
 
5.9%
s 46032
 
5.2%
a 44246
 
5.0%
r 40334
 
4.6%
d 30267
 
3.4%
Other values (71) 302953
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 880256
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
121161
 
13.8%
e 70355
 
8.0%
o 65416
 
7.4%
n 54250
 
6.2%
i 53544
 
6.1%
t 51698
 
5.9%
s 46032
 
5.2%
a 44246
 
5.0%
r 40334
 
4.6%
d 30267
 
3.4%
Other values (71) 302953
34.4%

Violation Points - 8
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing59822
Missing (%)75.7%
Memory size3.4 MiB
1.0
10429 
2.0
4689 
3.0
4044 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters57486
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 10429
 
13.2%
2.0 4689
 
5.9%
3.0 4044
 
5.1%
(Missing) 59822
75.7%

Length

2024-06-24T01:07:30.979386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:31.212225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 10429
54.4%
2.0 4689
24.5%
3.0 4044
 
21.1%

Most occurring characters

ValueCountFrequency (%)
. 19162
33.3%
0 19162
33.3%
1 10429
18.1%
2 4689
 
8.2%
3 4044
 
7.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 57486
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 19162
33.3%
0 19162
33.3%
1 10429
18.1%
2 4689
 
8.2%
3 4044
 
7.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 57486
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 19162
33.3%
0 19162
33.3%
1 10429
18.1%
2 4689
 
8.2%
3 4044
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 57486
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 19162
33.3%
0 19162
33.3%
1 10429
18.1%
2 4689
 
8.2%
3 4044
 
7.0%

Violation Detail - 8
Text

MISSING 

Distinct486
Distinct (%)2.6%
Missing60085
Missing (%)76.1%
Memory size10.6 MiB
2024-06-24T01:07:31.596044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1039
Median length701
Mean length364.50077
Min length125

Characters and Unicode

Total characters6888700
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)0.6%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (3) using methods, if pests are found, such as trapping devices or other means of pest control as specified in õ228.204(b) and õ228.208(b) and (c) of this title; and
2nd row228.247 COMPLIANCE Permit Requirement, Prerequisite for Operation A person may not operate a food establishment without a valid permit or license to operate issued by the regulatory authority.
3rd rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (b) Cleaning, frequency and restrictions.
5th rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
ValueCountFrequency (%)
and 51878
 
5.4%
food 40048
 
4.2%
of 32604
 
3.4%
the 29839
 
3.1%
a 25893
 
2.7%
shall 21225
 
2.2%
in 20992
 
2.2%
be 19109
 
2.0%
equipment 17342
 
1.8%
or 17305
 
1.8%
Other values (2302) 676474
71.0%
2024-06-24T01:07:32.355149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1405815
20.4%
e 586910
 
8.5%
i 403887
 
5.9%
n 401320
 
5.8%
a 399725
 
5.8%
t 387842
 
5.6%
o 376925
 
5.5%
s 369620
 
5.4%
r 273620
 
4.0%
d 227838
 
3.3%
Other values (63) 2055198
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6888700
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1405815
20.4%
e 586910
 
8.5%
i 403887
 
5.9%
n 401320
 
5.8%
a 399725
 
5.8%
t 387842
 
5.6%
o 376925
 
5.5%
s 369620
 
5.4%
r 273620
 
4.0%
d 227838
 
3.3%
Other values (63) 2055198
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6888700
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1405815
20.4%
e 586910
 
8.5%
i 403887
 
5.9%
n 401320
 
5.8%
a 399725
 
5.8%
t 387842
 
5.6%
o 376925
 
5.5%
s 369620
 
5.4%
r 273620
 
4.0%
d 227838
 
3.3%
Other values (63) 2055198
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6888700
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1405815
20.4%
e 586910
 
8.5%
i 403887
 
5.9%
n 401320
 
5.8%
a 399725
 
5.8%
t 387842
 
5.6%
o 376925
 
5.5%
s 369620
 
5.4%
r 273620
 
4.0%
d 227838
 
3.3%
Other values (63) 2055198
29.8%

Violation Memo - 8
Text

MISSING 

Distinct12555
Distinct (%)81.3%
Missing63543
Missing (%)80.5%
Memory size3.5 MiB
2024-06-24T01:07:33.101693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1516
Median length413
Mean length48.251085
Min length2

Characters and Unicode

Total characters745045
Distinct characters97
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11714 ?
Unique (%)75.9%

Sample

1st rowOBSERVED FLIES IN ESTABLISHMENT
2nd rowHave permit by next visit.
3rd rowLocation is operating without a valid permit. Establishment is past due on City of Dallas permit fees. Amounts due are aged as follows as of 3/24/2018: Location has fees due aged as follows. 1-30 Days $87.00 31-60 Days $111.00 61-90 Days $0.00 91-120 Days $280.00 121+ Days $0.00 Net due for permit $478.00 Last payment received 12/20/2016 Please contact our office to resolve this issue: Code Compliance Office: 7901 Goforth Road Dallas, TX 75238 (214) 670-8083
4th rowclean floors and clean prep area
5th rowRegister with city of Dallas -> Last warning will issue citation for repeat violation
ValueCountFrequency (%)
in 4168
 
3.3%
food 2860
 
2.3%
the 2650
 
2.1%
on 2268
 
1.8%
clean 2161
 
1.7%
and 2109
 
1.7%
of 1796
 
1.4%
all 1796
 
1.4%
provide 1730
 
1.4%
to 1592
 
1.3%
Other values (5387) 102117
81.5%
2024-06-24T01:07:34.390246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115428
 
15.5%
e 52360
 
7.0%
o 38621
 
5.2%
a 32047
 
4.3%
n 32040
 
4.3%
i 30925
 
4.2%
r 30259
 
4.1%
t 30122
 
4.0%
s 29590
 
4.0%
E 22168
 
3.0%
Other values (87) 331485
44.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 745045
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
115428
 
15.5%
e 52360
 
7.0%
o 38621
 
5.2%
a 32047
 
4.3%
n 32040
 
4.3%
i 30925
 
4.2%
r 30259
 
4.1%
t 30122
 
4.0%
s 29590
 
4.0%
E 22168
 
3.0%
Other values (87) 331485
44.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 745045
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
115428
 
15.5%
e 52360
 
7.0%
o 38621
 
5.2%
a 32047
 
4.3%
n 32040
 
4.3%
i 30925
 
4.2%
r 30259
 
4.1%
t 30122
 
4.0%
s 29590
 
4.0%
E 22168
 
3.0%
Other values (87) 331485
44.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 745045
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
115428
 
15.5%
e 52360
 
7.0%
o 38621
 
5.2%
a 32047
 
4.3%
n 32040
 
4.3%
i 30925
 
4.2%
r 30259
 
4.1%
t 30122
 
4.0%
s 29590
 
4.0%
E 22168
 
3.0%
Other values (87) 331485
44.5%
Distinct421
Distinct (%)2.9%
Missing64648
Missing (%)81.8%
Memory size3.4 MiB
2024-06-24T01:07:35.181015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length84
Mean length45.993792
Min length12

Characters and Unicode

Total characters659367
Distinct characters81
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)0.6%

Sample

1st row*14 Wash hands after all other activities
2nd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
3rd row*38 Thawing. under running water criteria - water velocity
4th row*32 Damaged Equipment
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
food 4084
 
3.9%
2577
 
2.5%
in 1822
 
1.8%
or 1810
 
1.7%
and 1347
 
1.3%
of 1236
 
1.2%
not 1202
 
1.2%
for 1176
 
1.1%
42 1135
 
1.1%
the 1122
 
1.1%
Other values (961) 85965
83.1%
2024-06-24T01:07:36.383236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90618
13.7%
e 52916
 
8.0%
o 49073
 
7.4%
i 40542
 
6.1%
n 40495
 
6.1%
t 38581
 
5.9%
s 34310
 
5.2%
a 33312
 
5.1%
r 30482
 
4.6%
d 22552
 
3.4%
Other values (71) 226486
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 659367
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
90618
13.7%
e 52916
 
8.0%
o 49073
 
7.4%
i 40542
 
6.1%
n 40495
 
6.1%
t 38581
 
5.9%
s 34310
 
5.2%
a 33312
 
5.1%
r 30482
 
4.6%
d 22552
 
3.4%
Other values (71) 226486
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 659367
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
90618
13.7%
e 52916
 
8.0%
o 49073
 
7.4%
i 40542
 
6.1%
n 40495
 
6.1%
t 38581
 
5.9%
s 34310
 
5.2%
a 33312
 
5.1%
r 30482
 
4.6%
d 22552
 
3.4%
Other values (71) 226486
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 659367
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
90618
13.7%
e 52916
 
8.0%
o 49073
 
7.4%
i 40542
 
6.1%
n 40495
 
6.1%
t 38581
 
5.9%
s 34310
 
5.2%
a 33312
 
5.1%
r 30482
 
4.6%
d 22552
 
3.4%
Other values (71) 226486
34.3%

Violation Points - 9
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)< 0.1%
Missing64648
Missing (%)81.8%
Memory size3.3 MiB
1.0
7987 
2.0
3297 
3.0
3051 
4.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters43008
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 7987
 
10.1%
2.0 3297
 
4.2%
3.0 3051
 
3.9%
4.0 1
 
< 0.1%
(Missing) 64648
81.8%

Length

2024-06-24T01:07:36.833342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:37.281076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 7987
55.7%
2.0 3297
23.0%
3.0 3051
 
21.3%
4.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 14336
33.3%
0 14336
33.3%
1 7987
18.6%
2 3297
 
7.7%
3 3051
 
7.1%
4 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 43008
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 14336
33.3%
0 14336
33.3%
1 7987
18.6%
2 3297
 
7.7%
3 3051
 
7.1%
4 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 43008
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 14336
33.3%
0 14336
33.3%
1 7987
18.6%
2 3297
 
7.7%
3 3051
 
7.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 43008
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 14336
33.3%
0 14336
33.3%
1 7987
18.6%
2 3297
 
7.7%
3 3051
 
7.1%
4 1
 
< 0.1%

Violation Detail - 9
Text

MISSING 

Distinct428
Distinct (%)3.0%
Missing64865
Missing (%)82.1%
Memory size8.5 MiB
2024-06-24T01:07:37.927016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length639
Mean length362.29258
Min length125

Characters and Unicode

Total characters5115209
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)0.6%

Sample

1st row228.38 Management and Personnel. Hands and Arms. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified under subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and:; (9) after engaging in other activities that contaminate the hands.
2nd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
3rd row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
4th row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 39125
 
5.5%
food 29346
 
4.2%
of 24079
 
3.4%
the 21737
 
3.1%
a 18735
 
2.7%
shall 15723
 
2.2%
in 15204
 
2.2%
be 13993
 
2.0%
equipment 13273
 
1.9%
or 13021
 
1.8%
Other values (2122) 501582
71.1%
2024-06-24T01:07:39.185368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1042367
20.4%
e 436231
 
8.5%
i 300728
 
5.9%
n 299090
 
5.8%
a 295865
 
5.8%
t 286606
 
5.6%
o 279300
 
5.5%
s 277173
 
5.4%
r 203939
 
4.0%
d 168486
 
3.3%
Other values (62) 1525424
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5115209
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1042367
20.4%
e 436231
 
8.5%
i 300728
 
5.9%
n 299090
 
5.8%
a 295865
 
5.8%
t 286606
 
5.6%
o 279300
 
5.5%
s 277173
 
5.4%
r 203939
 
4.0%
d 168486
 
3.3%
Other values (62) 1525424
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5115209
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1042367
20.4%
e 436231
 
8.5%
i 300728
 
5.9%
n 299090
 
5.8%
a 295865
 
5.8%
t 286606
 
5.6%
o 279300
 
5.5%
s 277173
 
5.4%
r 203939
 
4.0%
d 168486
 
3.3%
Other values (62) 1525424
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5115209
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1042367
20.4%
e 436231
 
8.5%
i 300728
 
5.9%
n 299090
 
5.8%
a 295865
 
5.8%
t 286606
 
5.6%
o 279300
 
5.5%
s 277173
 
5.4%
r 203939
 
4.0%
d 168486
 
3.3%
Other values (62) 1525424
29.8%

Violation Memo - 9
Text

MISSING 

Distinct9611
Distinct (%)81.9%
Missing67250
Missing (%)85.1%
Memory size3.2 MiB
2024-06-24T01:07:39.925690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1584
Median length568
Mean length49.328277
Min length3

Characters and Unicode

Total characters578818
Distinct characters95
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8968 ?
Unique (%)76.4%

Sample

1st rowLACK OF HAND WASHING
2nd rowPersonal drink need to separated in bin if you store with food.
3rd rowRaw chicken observed in sink without being submerged under running water.
4th rowBROKEN REACH IN COOLER DOOR GASKETS
5th rowDIRTY ICE SCOOP HANDLE
ValueCountFrequency (%)
in 3124
 
3.2%
food 2287
 
2.4%
the 1906
 
2.0%
clean 1724
 
1.8%
and 1711
 
1.8%
on 1693
 
1.8%
all 1421
 
1.5%
provide 1346
 
1.4%
of 1332
 
1.4%
to 1281
 
1.3%
Other values (4758) 78435
81.5%
2024-06-24T01:07:40.863637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
89619
 
15.5%
e 40474
 
7.0%
o 30190
 
5.2%
a 25049
 
4.3%
n 24645
 
4.3%
r 23930
 
4.1%
i 23842
 
4.1%
t 23524
 
4.1%
s 23007
 
4.0%
E 16599
 
2.9%
Other values (85) 257939
44.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 578818
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
89619
 
15.5%
e 40474
 
7.0%
o 30190
 
5.2%
a 25049
 
4.3%
n 24645
 
4.3%
r 23930
 
4.1%
i 23842
 
4.1%
t 23524
 
4.1%
s 23007
 
4.0%
E 16599
 
2.9%
Other values (85) 257939
44.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 578818
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
89619
 
15.5%
e 40474
 
7.0%
o 30190
 
5.2%
a 25049
 
4.3%
n 24645
 
4.3%
r 23930
 
4.1%
i 23842
 
4.1%
t 23524
 
4.1%
s 23007
 
4.0%
E 16599
 
2.9%
Other values (85) 257939
44.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 578818
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
89619
 
15.5%
e 40474
 
7.0%
o 30190
 
5.2%
a 25049
 
4.3%
n 24645
 
4.3%
r 23930
 
4.1%
i 23842
 
4.1%
t 23524
 
4.1%
s 23007
 
4.0%
E 16599
 
2.9%
Other values (85) 257939
44.6%
Distinct412
Distinct (%)4.0%
Missing68717
Missing (%)87.0%
Memory size3.1 MiB
2024-06-24T01:07:41.237000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length84
Mean length46.207558
Min length12

Characters and Unicode

Total characters474413
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)1.0%

Sample

1st row*02 Cold Hold (41øF/45øF or below)
2nd row*39 Air-drying required after cleaning & sanitiziing
3rd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
4th row*47 RFSM Certificate - Not Display
5th row*30 Food Establishment Permit
ValueCountFrequency (%)
food 2934
 
3.9%
1804
 
2.4%
in 1323
 
1.8%
or 1226
 
1.6%
and 944
 
1.3%
of 923
 
1.2%
for 879
 
1.2%
not 846
 
1.1%
equipment 781
 
1.0%
47 767
 
1.0%
Other values (949) 62065
83.3%
2024-06-24T01:07:41.890125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65336
13.8%
e 38523
 
8.1%
o 34861
 
7.3%
n 29244
 
6.2%
i 29205
 
6.2%
t 27705
 
5.8%
s 25006
 
5.3%
a 23937
 
5.0%
r 21873
 
4.6%
d 16231
 
3.4%
Other values (72) 162492
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 474413
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
65336
13.8%
e 38523
 
8.1%
o 34861
 
7.3%
n 29244
 
6.2%
i 29205
 
6.2%
t 27705
 
5.8%
s 25006
 
5.3%
a 23937
 
5.0%
r 21873
 
4.6%
d 16231
 
3.4%
Other values (72) 162492
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 474413
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
65336
13.8%
e 38523
 
8.1%
o 34861
 
7.3%
n 29244
 
6.2%
i 29205
 
6.2%
t 27705
 
5.8%
s 25006
 
5.3%
a 23937
 
5.0%
r 21873
 
4.6%
d 16231
 
3.4%
Other values (72) 162492
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 474413
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
65336
13.8%
e 38523
 
8.1%
o 34861
 
7.3%
n 29244
 
6.2%
i 29205
 
6.2%
t 27705
 
5.8%
s 25006
 
5.3%
a 23937
 
5.0%
r 21873
 
4.6%
d 16231
 
3.4%
Other values (72) 162492
34.3%

Violation Points - 10
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing68717
Missing (%)87.0%
Memory size3.2 MiB
1.0
5732 
2.0
2353 
3.0
2182 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters30801
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 5732
 
7.3%
2.0 2353
 
3.0%
3.0 2182
 
2.8%
(Missing) 68717
87.0%

Length

2024-06-24T01:07:42.143060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:42.347466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 5732
55.8%
2.0 2353
22.9%
3.0 2182
 
21.3%

Most occurring characters

ValueCountFrequency (%)
. 10267
33.3%
0 10267
33.3%
1 5732
18.6%
2 2353
 
7.6%
3 2182
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30801
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 10267
33.3%
0 10267
33.3%
1 5732
18.6%
2 2353
 
7.6%
3 2182
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30801
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 10267
33.3%
0 10267
33.3%
1 5732
18.6%
2 2353
 
7.6%
3 2182
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30801
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 10267
33.3%
0 10267
33.3%
1 5732
18.6%
2 2353
 
7.6%
3 2182
 
7.1%

Violation Detail - 10
Text

MISSING 

Distinct418
Distinct (%)4.1%
Missing68878
Missing (%)87.2%
Memory size6.8 MiB
2024-06-24T01:07:42.740797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length675
Mean length363.46299
Min length125

Characters and Unicode

Total characters3673157
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)1.0%

Sample

1st row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
2nd row228.122 Equipment, Utensils, and Linens. Drying, Equipment and Utensils. (a) Equipment and utensils, air-drying required. After cleaning and sanitizing, equipment and utensils: (1) shall be air-dried or used after adequate draining as specified in the first paragraph of 40 CFR õ180.940, Tolerance exemptions for active and inert ingredients for use in antimicrobial formulations (food-contact sanitizing solutions), before contact with food; and
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
4th rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
5th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
ValueCountFrequency (%)
and 28159
 
5.5%
food 21239
 
4.2%
of 17110
 
3.4%
the 15562
 
3.1%
a 13706
 
2.7%
shall 11323
 
2.2%
in 11034
 
2.2%
be 10072
 
2.0%
equipment 9374
 
1.8%
or 9253
 
1.8%
Other values (2100) 360710
71.1%
2024-06-24T01:07:43.520362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
749335
20.4%
e 313045
 
8.5%
i 216272
 
5.9%
n 214768
 
5.8%
a 213914
 
5.8%
t 206100
 
5.6%
o 200608
 
5.5%
s 197806
 
5.4%
r 146161
 
4.0%
d 121417
 
3.3%
Other values (63) 1093731
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3673157
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
749335
20.4%
e 313045
 
8.5%
i 216272
 
5.9%
n 214768
 
5.8%
a 213914
 
5.8%
t 206100
 
5.6%
o 200608
 
5.5%
s 197806
 
5.4%
r 146161
 
4.0%
d 121417
 
3.3%
Other values (63) 1093731
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3673157
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
749335
20.4%
e 313045
 
8.5%
i 216272
 
5.9%
n 214768
 
5.8%
a 213914
 
5.8%
t 206100
 
5.6%
o 200608
 
5.5%
s 197806
 
5.4%
r 146161
 
4.0%
d 121417
 
3.3%
Other values (63) 1093731
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3673157
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
749335
20.4%
e 313045
 
8.5%
i 216272
 
5.9%
n 214768
 
5.8%
a 213914
 
5.8%
t 206100
 
5.6%
o 200608
 
5.5%
s 197806
 
5.4%
r 146161
 
4.0%
d 121417
 
3.3%
Other values (63) 1093731
29.8%

Violation Memo - 10
Text

MISSING 

Distinct7075
Distinct (%)82.3%
Missing70383
Missing (%)89.1%
Memory size3.0 MiB
2024-06-24T01:07:43.992051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length2087
Median length344
Mean length48.73131
Min length3

Characters and Unicode

Total characters419138
Distinct characters95
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6648 ?
Unique (%)77.3%

Sample

1st rowCHEESE 61.5*F(DOUBLE PAN), BLUE CHEESE 48.9*F, RAW BEEF 45*F IN CHU
2nd rowAir dry utensils.
3rd rowRaw shell eggs stored on top of container of cooked penne pasta and adjacent to ready to eat romaine lettuce.
4th rowRegister Servsafe Manager certificate with COD.
5th rowpermit missing on site must be have valid permit display
ValueCountFrequency (%)
in 2313
 
3.3%
food 1622
 
2.3%
the 1285
 
1.8%
and 1277
 
1.8%
on 1252
 
1.8%
clean 1174
 
1.7%
provide 1107
 
1.6%
all 1037
 
1.5%
of 937
 
1.3%
to 922
 
1.3%
Other values (3951) 57073
81.5%
2024-06-24T01:07:44.759077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66744
 
15.9%
e 28792
 
6.9%
o 21718
 
5.2%
n 18082
 
4.3%
a 18066
 
4.3%
i 17391
 
4.1%
r 16939
 
4.0%
t 16841
 
4.0%
s 16734
 
4.0%
E 12207
 
2.9%
Other values (85) 185624
44.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 419138
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
66744
 
15.9%
e 28792
 
6.9%
o 21718
 
5.2%
n 18082
 
4.3%
a 18066
 
4.3%
i 17391
 
4.1%
r 16939
 
4.0%
t 16841
 
4.0%
s 16734
 
4.0%
E 12207
 
2.9%
Other values (85) 185624
44.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 419138
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
66744
 
15.9%
e 28792
 
6.9%
o 21718
 
5.2%
n 18082
 
4.3%
a 18066
 
4.3%
i 17391
 
4.1%
r 16939
 
4.0%
t 16841
 
4.0%
s 16734
 
4.0%
E 12207
 
2.9%
Other values (85) 185624
44.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 419138
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
66744
 
15.9%
e 28792
 
6.9%
o 21718
 
5.2%
n 18082
 
4.3%
a 18066
 
4.3%
i 17391
 
4.1%
r 16939
 
4.0%
t 16841
 
4.0%
s 16734
 
4.0%
E 12207
 
2.9%
Other values (85) 185624
44.3%
Distinct377
Distinct (%)5.5%
Missing72098
Missing (%)91.3%
Memory size2.9 MiB
2024-06-24T01:07:45.137100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length83
Mean length46.316149
Min length12

Characters and Unicode

Total characters318933
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)1.5%

Sample

1st row*43 Light 20 foot : Reach-in cooler
2nd row*40 Reuse of single service articles
3rd row*21 RFSM - Not On Site
4th row*47 RFSM Certificate - Not Display
5th row*47 Conditions of Permit-in use of food equipment
ValueCountFrequency (%)
food 2115
 
4.2%
1192
 
2.4%
in 888
 
1.8%
or 832
 
1.7%
of 741
 
1.5%
for 587
 
1.2%
and 585
 
1.2%
the 583
 
1.2%
not 551
 
1.1%
47 543
 
1.1%
Other values (880) 41530
82.8%
2024-06-24T01:07:45.847816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43987
13.8%
e 25877
 
8.1%
o 23959
 
7.5%
n 19713
 
6.2%
i 19510
 
6.1%
t 18491
 
5.8%
s 16657
 
5.2%
a 16018
 
5.0%
r 14855
 
4.7%
d 11089
 
3.5%
Other values (69) 108777
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 318933
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
43987
13.8%
e 25877
 
8.1%
o 23959
 
7.5%
n 19713
 
6.2%
i 19510
 
6.1%
t 18491
 
5.8%
s 16657
 
5.2%
a 16018
 
5.0%
r 14855
 
4.7%
d 11089
 
3.5%
Other values (69) 108777
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 318933
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
43987
13.8%
e 25877
 
8.1%
o 23959
 
7.5%
n 19713
 
6.2%
i 19510
 
6.1%
t 18491
 
5.8%
s 16657
 
5.2%
a 16018
 
5.0%
r 14855
 
4.7%
d 11089
 
3.5%
Other values (69) 108777
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 318933
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
43987
13.8%
e 25877
 
8.1%
o 23959
 
7.5%
n 19713
 
6.2%
i 19510
 
6.1%
t 18491
 
5.8%
s 16657
 
5.2%
a 16018
 
5.0%
r 14855
 
4.7%
d 11089
 
3.5%
Other values (69) 108777
34.1%

Violation Points - 11
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing72098
Missing (%)91.3%
Memory size3.1 MiB
1.0
3971 
2.0
1538 
3.0
1377 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters20658
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 3971
 
5.0%
2.0 1538
 
1.9%
3.0 1377
 
1.7%
(Missing) 72098
91.3%

Length

2024-06-24T01:07:46.101798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:46.339969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 3971
57.7%
2.0 1538
 
22.3%
3.0 1377
 
20.0%

Most occurring characters

ValueCountFrequency (%)
. 6886
33.3%
0 6886
33.3%
1 3971
19.2%
2 1538
 
7.4%
3 1377
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20658
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 6886
33.3%
0 6886
33.3%
1 3971
19.2%
2 1538
 
7.4%
3 1377
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20658
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 6886
33.3%
0 6886
33.3%
1 3971
19.2%
2 1538
 
7.4%
3 1377
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20658
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 6886
33.3%
0 6886
33.3%
1 3971
19.2%
2 1538
 
7.4%
3 1377
 
6.7%

Violation Detail - 11
Text

MISSING 

Distinct383
Distinct (%)5.6%
Missing72199
Missing (%)91.4%
Memory size5.3 MiB
2024-06-24T01:07:47.292741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length675
Mean length363.67428
Min length125

Characters and Unicode

Total characters2467530
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)1.5%

Sample

1st row228.177 Physical Facilities. Lighting, intensity. The light intensity shall be: (2) at least 215 lux (20 foot candles): (B) inside equipment such as reach-in and under-counter refrigerators; or
2nd row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
3rd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
4th rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
5th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
ValueCountFrequency (%)
and 18665
 
5.5%
food 14650
 
4.3%
of 11583
 
3.4%
the 10617
 
3.1%
a 9184
 
2.7%
shall 7578
 
2.2%
in 7363
 
2.2%
be 6858
 
2.0%
or 6245
 
1.8%
equipment 6055
 
1.8%
Other values (2046) 242448
71.0%
2024-06-24T01:07:48.117710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
505843
20.5%
e 210359
 
8.5%
i 144519
 
5.9%
a 143456
 
5.8%
n 142957
 
5.8%
t 138184
 
5.6%
o 135846
 
5.5%
s 132150
 
5.4%
r 98466
 
4.0%
d 81868
 
3.3%
Other values (65) 733882
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2467530
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
505843
20.5%
e 210359
 
8.5%
i 144519
 
5.9%
a 143456
 
5.8%
n 142957
 
5.8%
t 138184
 
5.6%
o 135846
 
5.5%
s 132150
 
5.4%
r 98466
 
4.0%
d 81868
 
3.3%
Other values (65) 733882
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2467530
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
505843
20.5%
e 210359
 
8.5%
i 144519
 
5.9%
a 143456
 
5.8%
n 142957
 
5.8%
t 138184
 
5.6%
o 135846
 
5.5%
s 132150
 
5.4%
r 98466
 
4.0%
d 81868
 
3.3%
Other values (65) 733882
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2467530
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
505843
20.5%
e 210359
 
8.5%
i 144519
 
5.9%
a 143456
 
5.8%
n 142957
 
5.8%
t 138184
 
5.6%
o 135846
 
5.5%
s 132150
 
5.4%
r 98466
 
4.0%
d 81868
 
3.3%
Other values (65) 733882
29.7%

Violation Memo - 11
Text

MISSING 

Distinct4838
Distinct (%)83.8%
Missing73208
Missing (%)92.7%
Memory size2.8 MiB
2024-06-24T01:07:48.667063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1325
Median length279
Mean length48.009349
Min length3

Characters and Unicode

Total characters277302
Distinct characters94
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4535 ?
Unique (%)78.5%

Sample

1st rowREPAIR ALL
2nd rowDo not reuse bowl as scoop. Use scoop that is handled.
3rd rowNo Staff able to provide evidence of Registered Food Service Manager training. Individual who has RFSM certificate on display not present at time of inspection. Registered Food Service Manager certified through the City of Dallas must be present at all times food is prepared and served. This blue certificate may be obtained from our Goforth Office: Code Compliance Office: 7901 Goforth Road Dallas, TX 75238 (214) 670-8083 Requirements are: -Photo ID -Evidence of successful completion of a Registered Food Service Manager course approved by the State of Texas Department of Health or a nationally recognized sanitarian foundations (ANSI or NSF). -$30.00 per year (Cash, Check, or Money Order) It is advised to call ahead on day of visit to verify above information. Please note the offices close from12:00pm to 1:00pm.
4th rowmissing current RFSM certification must be have current FSM registered with the city
5th rowPOST SIGN” CURRENT HEALTH INSPECTION IS AVAILABLE UPON REQUEST”
ValueCountFrequency (%)
in 1541
 
3.3%
food 1127
 
2.4%
the 816
 
1.8%
and 803
 
1.7%
on 800
 
1.7%
clean 792
 
1.7%
all 753
 
1.6%
provide 736
 
1.6%
of 654
 
1.4%
at 569
 
1.2%
Other values (3185) 37524
81.4%
2024-06-24T01:07:49.537309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42420
 
15.3%
e 19417
 
7.0%
o 14837
 
5.4%
n 12120
 
4.4%
a 12032
 
4.3%
i 11561
 
4.2%
r 11558
 
4.2%
t 11349
 
4.1%
s 11126
 
4.0%
E 7893
 
2.8%
Other values (84) 122989
44.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 277302
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
42420
 
15.3%
e 19417
 
7.0%
o 14837
 
5.4%
n 12120
 
4.4%
a 12032
 
4.3%
i 11561
 
4.2%
r 11558
 
4.2%
t 11349
 
4.1%
s 11126
 
4.0%
E 7893
 
2.8%
Other values (84) 122989
44.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 277302
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
42420
 
15.3%
e 19417
 
7.0%
o 14837
 
5.4%
n 12120
 
4.4%
a 12032
 
4.3%
i 11561
 
4.2%
r 11558
 
4.2%
t 11349
 
4.1%
s 11126
 
4.0%
E 7893
 
2.8%
Other values (84) 122989
44.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 277302
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
42420
 
15.3%
e 19417
 
7.0%
o 14837
 
5.4%
n 12120
 
4.4%
a 12032
 
4.3%
i 11561
 
4.2%
r 11558
 
4.2%
t 11349
 
4.1%
s 11126
 
4.0%
E 7893
 
2.8%
Other values (84) 122989
44.4%
Distinct329
Distinct (%)7.7%
Missing74711
Missing (%)94.6%
Memory size2.7 MiB
2024-06-24T01:07:50.143061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length84
Mean length46.374678
Min length12

Characters and Unicode

Total characters198159
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)2.1%

Sample

1st row*41 Food storage containers, identified with common name of food.
2nd row*29 Sanitizing solutions, testing devices
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 1246
 
4.0%
671
 
2.2%
in 555
 
1.8%
or 527
 
1.7%
of 407
 
1.3%
and 380
 
1.2%
for 369
 
1.2%
the 368
 
1.2%
47 347
 
1.1%
not 345
 
1.1%
Other values (810) 25896
83.2%
2024-06-24T01:07:51.293327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27265
13.8%
e 16093
 
8.1%
o 14842
 
7.5%
n 12260
 
6.2%
i 12130
 
6.1%
t 11575
 
5.8%
s 10487
 
5.3%
a 9991
 
5.0%
r 9292
 
4.7%
d 6810
 
3.4%
Other values (72) 67414
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 198159
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
27265
13.8%
e 16093
 
8.1%
o 14842
 
7.5%
n 12260
 
6.2%
i 12130
 
6.1%
t 11575
 
5.8%
s 10487
 
5.3%
a 9991
 
5.0%
r 9292
 
4.7%
d 6810
 
3.4%
Other values (72) 67414
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 198159
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
27265
13.8%
e 16093
 
8.1%
o 14842
 
7.5%
n 12260
 
6.2%
i 12130
 
6.1%
t 11575
 
5.8%
s 10487
 
5.3%
a 9991
 
5.0%
r 9292
 
4.7%
d 6810
 
3.4%
Other values (72) 67414
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 198159
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
27265
13.8%
e 16093
 
8.1%
o 14842
 
7.5%
n 12260
 
6.2%
i 12130
 
6.1%
t 11575
 
5.8%
s 10487
 
5.3%
a 9991
 
5.0%
r 9292
 
4.7%
d 6810
 
3.4%
Other values (72) 67414
34.0%

Violation Points - 12
Categorical

MISSING 

Distinct3
Distinct (%)0.1%
Missing74711
Missing (%)94.6%
Memory size3.1 MiB
1.0
2511 
2.0
938 
3.0
824 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12819
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 2511
 
3.2%
2.0 938
 
1.2%
3.0 824
 
1.0%
(Missing) 74711
94.6%

Length

2024-06-24T01:07:51.725783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:52.147444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2511
58.8%
2.0 938
 
22.0%
3.0 824
 
19.3%

Most occurring characters

ValueCountFrequency (%)
. 4273
33.3%
0 4273
33.3%
1 2511
19.6%
2 938
 
7.3%
3 824
 
6.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 12819
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 4273
33.3%
0 4273
33.3%
1 2511
19.6%
2 938
 
7.3%
3 824
 
6.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 12819
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 4273
33.3%
0 4273
33.3%
1 2511
19.6%
2 938
 
7.3%
3 824
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 12819
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 4273
33.3%
0 4273
33.3%
1 2511
19.6%
2 938
 
7.3%
3 824
 
6.4%

Violation Detail - 12
Text

MISSING 

Distinct333
Distinct (%)8.0%
Missing74796
Missing (%)94.7%
Memory size4.2 MiB
2024-06-24T01:07:52.761701image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length994
Median length672
Mean length359.93314
Min length125

Characters and Unicode

Total characters1507400
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)2.2%

Sample

1st row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 11349
 
5.5%
food 8759
 
4.2%
of 7193
 
3.5%
the 6390
 
3.1%
a 5572
 
2.7%
shall 4671
 
2.2%
in 4538
 
2.2%
be 4171
 
2.0%
equipment 3738
 
1.8%
or 3730
 
1.8%
Other values (1869) 147992
71.1%
2024-06-24T01:07:54.009221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
307449
20.4%
e 128170
 
8.5%
i 88766
 
5.9%
a 87749
 
5.8%
n 87595
 
5.8%
t 84432
 
5.6%
o 82795
 
5.5%
s 81214
 
5.4%
r 59948
 
4.0%
d 49515
 
3.3%
Other values (65) 449767
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1507400
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
307449
20.4%
e 128170
 
8.5%
i 88766
 
5.9%
a 87749
 
5.8%
n 87595
 
5.8%
t 84432
 
5.6%
o 82795
 
5.5%
s 81214
 
5.4%
r 59948
 
4.0%
d 49515
 
3.3%
Other values (65) 449767
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1507400
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
307449
20.4%
e 128170
 
8.5%
i 88766
 
5.9%
a 87749
 
5.8%
n 87595
 
5.8%
t 84432
 
5.6%
o 82795
 
5.5%
s 81214
 
5.4%
r 59948
 
4.0%
d 49515
 
3.3%
Other values (65) 449767
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1507400
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
307449
20.4%
e 128170
 
8.5%
i 88766
 
5.9%
a 87749
 
5.8%
n 87595
 
5.8%
t 84432
 
5.6%
o 82795
 
5.5%
s 81214
 
5.4%
r 59948
 
4.0%
d 49515
 
3.3%
Other values (65) 449767
29.8%

Violation Memo - 12
Text

MISSING 

Distinct3045
Distinct (%)86.6%
Missing75467
Missing (%)95.5%
Memory size2.7 MiB
2024-06-24T01:07:54.763883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length502
Median length201
Mean length46.427069
Min length1

Characters and Unicode

Total characters163284
Distinct characters89
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2876 ?
Unique (%)81.8%

Sample

1st rowLabel white containers with bulk food.
2nd rowPlease provide test strips for
3rd rowfloors under equipment and in all areas dirty with soils accumulations, food debris, litter and grease spills must be clean to avoid cross contamination walls with spills in all areas must be clean o avoid contamination
4th rowprovide test strips for sanitizer.
5th rowprovide paper towels at hand sink
ValueCountFrequency (%)
in 957
 
3.5%
food 673
 
2.5%
and 544
 
2.0%
clean 521
 
1.9%
on 501
 
1.8%
the 438
 
1.6%
all 422
 
1.5%
provide 403
 
1.5%
of 357
 
1.3%
observed 339
 
1.2%
Other values (2535) 22263
81.2%
2024-06-24T01:07:56.009681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24796
 
15.2%
e 11775
 
7.2%
o 9016
 
5.5%
n 7416
 
4.5%
a 7352
 
4.5%
r 7109
 
4.4%
i 7105
 
4.4%
s 6996
 
4.3%
t 6639
 
4.1%
l 4814
 
2.9%
Other values (79) 70266
43.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 163284
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
24796
 
15.2%
e 11775
 
7.2%
o 9016
 
5.5%
n 7416
 
4.5%
a 7352
 
4.5%
r 7109
 
4.4%
i 7105
 
4.4%
s 6996
 
4.3%
t 6639
 
4.1%
l 4814
 
2.9%
Other values (79) 70266
43.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 163284
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
24796
 
15.2%
e 11775
 
7.2%
o 9016
 
5.5%
n 7416
 
4.5%
a 7352
 
4.5%
r 7109
 
4.4%
i 7105
 
4.4%
s 6996
 
4.3%
t 6639
 
4.1%
l 4814
 
2.9%
Other values (79) 70266
43.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 163284
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
24796
 
15.2%
e 11775
 
7.2%
o 9016
 
5.5%
n 7416
 
4.5%
a 7352
 
4.5%
r 7109
 
4.4%
i 7105
 
4.4%
s 6996
 
4.3%
t 6639
 
4.1%
l 4814
 
2.9%
Other values (79) 70266
43.0%
Distinct289
Distinct (%)10.6%
Missing76270
Missing (%)96.6%
Memory size2.6 MiB
2024-06-24T01:07:56.754257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length80
Mean length45.953206
Min length12

Characters and Unicode

Total characters124717
Distinct characters80
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)3.3%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*28 Date marking > 24 hrs,on site,temp 41F
3rd row*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable
4th row*19 Water & Plumbing in good repair- per code
5th row*35 Eating food, chewing gum, drinking beverages, or using tobacco
ValueCountFrequency (%)
food 815
 
4.2%
465
 
2.4%
in 368
 
1.9%
or 321
 
1.6%
and 254
 
1.3%
of 245
 
1.3%
42 217
 
1.1%
not 213
 
1.1%
for 212
 
1.1%
equipment 202
 
1.0%
Other values (759) 16287
83.1%
2024-06-24T01:07:57.567688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17181
13.8%
e 10090
 
8.1%
o 9353
 
7.5%
n 7611
 
6.1%
i 7568
 
6.1%
t 7227
 
5.8%
s 6481
 
5.2%
a 6376
 
5.1%
r 5884
 
4.7%
d 4458
 
3.6%
Other values (70) 42488
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 124717
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
17181
13.8%
e 10090
 
8.1%
o 9353
 
7.5%
n 7611
 
6.1%
i 7568
 
6.1%
t 7227
 
5.8%
s 6481
 
5.2%
a 6376
 
5.1%
r 5884
 
4.7%
d 4458
 
3.6%
Other values (70) 42488
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 124717
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
17181
13.8%
e 10090
 
8.1%
o 9353
 
7.5%
n 7611
 
6.1%
i 7568
 
6.1%
t 7227
 
5.8%
s 6481
 
5.2%
a 6376
 
5.1%
r 5884
 
4.7%
d 4458
 
3.6%
Other values (70) 42488
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 124717
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
17181
13.8%
e 10090
 
8.1%
o 9353
 
7.5%
n 7611
 
6.1%
i 7568
 
6.1%
t 7227
 
5.8%
s 6481
 
5.2%
a 6376
 
5.1%
r 5884
 
4.7%
d 4458
 
3.6%
Other values (70) 42488
34.1%

Violation Points - 13
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing76270
Missing (%)96.6%
Memory size3.1 MiB
1.0
1537 
2.0
606 
3.0
570 
9.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters8142
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1537
 
1.9%
2.0 606
 
0.8%
3.0 570
 
0.7%
9.0 1
 
< 0.1%
(Missing) 76270
96.6%

Length

2024-06-24T01:07:57.853639image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:07:58.068106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1537
56.6%
2.0 606
 
22.3%
3.0 570
 
21.0%
9.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
. 2714
33.3%
0 2714
33.3%
1 1537
18.9%
2 606
 
7.4%
3 570
 
7.0%
9 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8142
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 2714
33.3%
0 2714
33.3%
1 1537
18.9%
2 606
 
7.4%
3 570
 
7.0%
9 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8142
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 2714
33.3%
0 2714
33.3%
1 1537
18.9%
2 606
 
7.4%
3 570
 
7.0%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8142
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 2714
33.3%
0 2714
33.3%
1 1537
18.9%
2 606
 
7.4%
3 570
 
7.0%
9 1
 
< 0.1%

Violation Detail - 13
Text

MISSING 

Distinct292
Distinct (%)11.0%
Missing76325
Missing (%)96.6%
Memory size3.5 MiB
2024-06-24T01:07:58.484160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length591
Mean length362.02219
Min length125

Characters and Unicode

Total characters962617
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)3.5%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
3rd row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.
4th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
5th row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
ValueCountFrequency (%)
and 7414
 
5.6%
food 5677
 
4.3%
of 4501
 
3.4%
the 3891
 
2.9%
a 3489
 
2.6%
shall 2928
 
2.2%
in 2864
 
2.2%
be 2671
 
2.0%
or 2529
 
1.9%
equipment 2433
 
1.8%
Other values (1696) 94559
71.1%
2024-06-24T01:07:59.279100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196639
20.4%
e 82029
 
8.5%
i 56292
 
5.8%
a 56165
 
5.8%
n 55641
 
5.8%
t 53707
 
5.6%
o 52832
 
5.5%
s 51819
 
5.4%
r 38556
 
4.0%
d 32135
 
3.3%
Other values (61) 286802
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 962617
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
196639
20.4%
e 82029
 
8.5%
i 56292
 
5.8%
a 56165
 
5.8%
n 55641
 
5.8%
t 53707
 
5.6%
o 52832
 
5.5%
s 51819
 
5.4%
r 38556
 
4.0%
d 32135
 
3.3%
Other values (61) 286802
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 962617
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
196639
20.4%
e 82029
 
8.5%
i 56292
 
5.8%
a 56165
 
5.8%
n 55641
 
5.8%
t 53707
 
5.6%
o 52832
 
5.5%
s 51819
 
5.4%
r 38556
 
4.0%
d 32135
 
3.3%
Other values (61) 286802
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 962617
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
196639
20.4%
e 82029
 
8.5%
i 56292
 
5.8%
a 56165
 
5.8%
n 55641
 
5.8%
t 53707
 
5.6%
o 52832
 
5.5%
s 51819
 
5.4%
r 38556
 
4.0%
d 32135
 
3.3%
Other values (61) 286802
29.8%

Violation Memo - 13
Text

MISSING 

Distinct2041
Distinct (%)90.9%
Missing76738
Missing (%)97.2%
Memory size2.6 MiB
2024-06-24T01:07:59.816094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length881
Median length177
Mean length47.525824
Min length3

Characters and Unicode

Total characters106743
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1934 ?
Unique (%)86.1%

Sample

1st rowClean inside WIC.
2nd rowNo date marking system evident.
3rd rowusing cooking paper as food surfaces in top of pans and under table shelving at the fryers area must be have proper food contact surfaces during operational hours
4th rowrepair pipes under 3 com sink, faucet
5th rowDO NOT STORE DRINKS BY PREP. SINK
ValueCountFrequency (%)
in 589
 
3.3%
food 438
 
2.5%
and 367
 
2.1%
clean 312
 
1.7%
on 308
 
1.7%
all 283
 
1.6%
the 252
 
1.4%
provide 248
 
1.4%
at 215
 
1.2%
of 215
 
1.2%
Other values (2047) 14632
81.9%
2024-06-24T01:08:00.713673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16311
 
15.3%
e 7649
 
7.2%
o 5861
 
5.5%
n 5042
 
4.7%
a 4966
 
4.7%
i 4640
 
4.3%
r 4605
 
4.3%
s 4565
 
4.3%
t 4460
 
4.2%
d 3064
 
2.9%
Other values (78) 45580
42.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 106743
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
16311
 
15.3%
e 7649
 
7.2%
o 5861
 
5.5%
n 5042
 
4.7%
a 4966
 
4.7%
i 4640
 
4.3%
r 4605
 
4.3%
s 4565
 
4.3%
t 4460
 
4.2%
d 3064
 
2.9%
Other values (78) 45580
42.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 106743
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
16311
 
15.3%
e 7649
 
7.2%
o 5861
 
5.5%
n 5042
 
4.7%
a 4966
 
4.7%
i 4640
 
4.3%
r 4605
 
4.3%
s 4565
 
4.3%
t 4460
 
4.2%
d 3064
 
2.9%
Other values (78) 45580
42.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 106743
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
16311
 
15.3%
e 7649
 
7.2%
o 5861
 
5.5%
n 5042
 
4.7%
a 4966
 
4.7%
i 4640
 
4.3%
r 4605
 
4.3%
s 4565
 
4.3%
t 4460
 
4.2%
d 3064
 
2.9%
Other values (78) 45580
42.7%
Distinct276
Distinct (%)14.5%
Missing77075
Missing (%)97.6%
Memory size2.5 MiB
2024-06-24T01:08:01.110784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length82
Mean length46.754322
Min length12

Characters and Unicode

Total characters89254
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)5.2%

Sample

1st row*47 Handwashing signage
2nd row*24 Food Labeling- with common name of the food
3rd row*47 RFSM Certificate - Not Display
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*18 Equipment and Utensils Multiuse Materials-safe
ValueCountFrequency (%)
food 580
 
4.1%
315
 
2.3%
or 261
 
1.9%
in 235
 
1.7%
of 197
 
1.4%
and 184
 
1.3%
not 162
 
1.2%
for 161
 
1.2%
47 157
 
1.1%
the 156
 
1.1%
Other values (723) 11579
82.8%
2024-06-24T01:08:01.836017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12257
13.7%
e 7165
 
8.0%
o 6611
 
7.4%
n 5542
 
6.2%
i 5452
 
6.1%
t 5174
 
5.8%
s 4638
 
5.2%
a 4629
 
5.2%
r 4114
 
4.6%
d 3147
 
3.5%
Other values (69) 30525
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 89254
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12257
13.7%
e 7165
 
8.0%
o 6611
 
7.4%
n 5542
 
6.2%
i 5452
 
6.1%
t 5174
 
5.8%
s 4638
 
5.2%
a 4629
 
5.2%
r 4114
 
4.6%
d 3147
 
3.5%
Other values (69) 30525
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 89254
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12257
13.7%
e 7165
 
8.0%
o 6611
 
7.4%
n 5542
 
6.2%
i 5452
 
6.1%
t 5174
 
5.8%
s 4638
 
5.2%
a 4629
 
5.2%
r 4114
 
4.6%
d 3147
 
3.5%
Other values (69) 30525
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 89254
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12257
13.7%
e 7165
 
8.0%
o 6611
 
7.4%
n 5542
 
6.2%
i 5452
 
6.1%
t 5174
 
5.8%
s 4638
 
5.2%
a 4629
 
5.2%
r 4114
 
4.6%
d 3147
 
3.5%
Other values (69) 30525
34.2%

Violation Points - 14
Categorical

MISSING 

Distinct3
Distinct (%)0.2%
Missing77075
Missing (%)97.6%
Memory size3.0 MiB
1.0
1049 
2.0
441 
3.0
419 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters5727
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 1049
 
1.3%
2.0 441
 
0.6%
3.0 419
 
0.5%
(Missing) 77075
97.6%

Length

2024-06-24T01:08:02.094218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:02.316595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1049
55.0%
2.0 441
23.1%
3.0 419
 
21.9%

Most occurring characters

ValueCountFrequency (%)
. 1909
33.3%
0 1909
33.3%
1 1049
18.3%
2 441
 
7.7%
3 419
 
7.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5727
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1909
33.3%
0 1909
33.3%
1 1049
18.3%
2 441
 
7.7%
3 419
 
7.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5727
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1909
33.3%
0 1909
33.3%
1 1049
18.3%
2 441
 
7.7%
3 419
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5727
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1909
33.3%
0 1909
33.3%
1 1049
18.3%
2 441
 
7.7%
3 419
 
7.3%

Violation Detail - 14
Text

MISSING 

Distinct278
Distinct (%)14.8%
Missing77105
Missing (%)97.6%
Memory size3.2 MiB
2024-06-24T01:08:02.751992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length576
Mean length368.20756
Min length148

Characters and Unicode

Total characters691862
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)5.5%

Sample

1st row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
3rd rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (1) safe;
ValueCountFrequency (%)
and 5292
 
5.5%
food 4091
 
4.3%
of 3173
 
3.3%
the 2806
 
2.9%
a 2633
 
2.8%
in 2122
 
2.2%
shall 2106
 
2.2%
be 1924
 
2.0%
or 1848
 
1.9%
equipment 1604
 
1.7%
Other values (1699) 68095
71.2%
2024-06-24T01:08:03.579452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141712
20.5%
e 58556
 
8.5%
i 40850
 
5.9%
a 40412
 
5.8%
n 39874
 
5.8%
t 38466
 
5.6%
o 37961
 
5.5%
s 37073
 
5.4%
r 27461
 
4.0%
d 23056
 
3.3%
Other values (62) 206441
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 691862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
141712
20.5%
e 58556
 
8.5%
i 40850
 
5.9%
a 40412
 
5.8%
n 39874
 
5.8%
t 38466
 
5.6%
o 37961
 
5.5%
s 37073
 
5.4%
r 27461
 
4.0%
d 23056
 
3.3%
Other values (62) 206441
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 691862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
141712
20.5%
e 58556
 
8.5%
i 40850
 
5.9%
a 40412
 
5.8%
n 39874
 
5.8%
t 38466
 
5.6%
o 37961
 
5.5%
s 37073
 
5.4%
r 27461
 
4.0%
d 23056
 
3.3%
Other values (62) 206441
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 691862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
141712
20.5%
e 58556
 
8.5%
i 40850
 
5.9%
a 40412
 
5.8%
n 39874
 
5.8%
t 38466
 
5.6%
o 37961
 
5.5%
s 37073
 
5.4%
r 27461
 
4.0%
d 23056
 
3.3%
Other values (62) 206441
29.8%

Violation Memo - 14
Text

MISSING 

Distinct1443
Distinct (%)91.4%
Missing77406
Missing (%)98.0%
Memory size2.5 MiB
2024-06-24T01:08:04.127600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length818
Median length158
Mean length48.060837
Min length4

Characters and Unicode

Total characters75840
Distinct characters87
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1366 ?
Unique (%)86.6%

Sample

1st rowNeed HW signs in restrooms.
2nd rowmissing food labels on food containers in different areas must be have food labels to avoid cross contamination
3rd rowDATE MARK ALL FOOD PRODUCTS WITH USE BY DATE WITH SHELF LIFE OF 7 DAYS OR LESS
4th rowusing thank you bags as food containers must be have approved commercial food containers to avoid chemical contamination
5th rowCooked chicken held at 114.6 degrees Cooked peppers held at 112.4 degrees
ValueCountFrequency (%)
in 394
 
3.1%
food 331
 
2.6%
on 248
 
1.9%
and 239
 
1.9%
all 203
 
1.6%
of 190
 
1.5%
the 183
 
1.4%
clean 168
 
1.3%
to 162
 
1.3%
provide 157
 
1.2%
Other values (1782) 10497
82.2%
2024-06-24T01:08:05.008212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11659
 
15.4%
e 5296
 
7.0%
o 4099
 
5.4%
n 3505
 
4.6%
a 3345
 
4.4%
i 3243
 
4.3%
t 3154
 
4.2%
r 3092
 
4.1%
s 3048
 
4.0%
d 2144
 
2.8%
Other values (77) 33255
43.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 75840
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
11659
 
15.4%
e 5296
 
7.0%
o 4099
 
5.4%
n 3505
 
4.6%
a 3345
 
4.4%
i 3243
 
4.3%
t 3154
 
4.2%
r 3092
 
4.1%
s 3048
 
4.0%
d 2144
 
2.8%
Other values (77) 33255
43.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 75840
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
11659
 
15.4%
e 5296
 
7.0%
o 4099
 
5.4%
n 3505
 
4.6%
a 3345
 
4.4%
i 3243
 
4.3%
t 3154
 
4.2%
r 3092
 
4.1%
s 3048
 
4.0%
d 2144
 
2.8%
Other values (77) 33255
43.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 75840
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
11659
 
15.4%
e 5296
 
7.0%
o 4099
 
5.4%
n 3505
 
4.6%
a 3345
 
4.4%
i 3243
 
4.3%
t 3154
 
4.2%
r 3092
 
4.1%
s 3048
 
4.0%
d 2144
 
2.8%
Other values (77) 33255
43.8%
Distinct237
Distinct (%)17.6%
Missing77639
Missing (%)98.3%
Memory size2.5 MiB
2024-06-24T01:08:05.495215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length84
Mean length46.609665
Min length13

Characters and Unicode

Total characters62690
Distinct characters79
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)7.1%

Sample

1st row*31 No soap at handsink
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*21 Demonstrateion of knowledge by PIC
4th row*02 Cold Hold (41øF/45øF or below)
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
food 430
 
4.4%
217
 
2.2%
in 216
 
2.2%
or 193
 
2.0%
not 120
 
1.2%
cross 108
 
1.1%
of 107
 
1.1%
and 102
 
1.0%
contamination 98
 
1.0%
47 97
 
1.0%
Other values (660) 8121
82.8%
2024-06-24T01:08:06.277682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8625
13.8%
e 4949
 
7.9%
o 4728
 
7.5%
n 3845
 
6.1%
i 3725
 
5.9%
t 3572
 
5.7%
a 3383
 
5.4%
s 3190
 
5.1%
r 3075
 
4.9%
d 2264
 
3.6%
Other values (69) 21334
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 62690
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8625
13.8%
e 4949
 
7.9%
o 4728
 
7.5%
n 3845
 
6.1%
i 3725
 
5.9%
t 3572
 
5.7%
a 3383
 
5.4%
s 3190
 
5.1%
r 3075
 
4.9%
d 2264
 
3.6%
Other values (69) 21334
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 62690
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8625
13.8%
e 4949
 
7.9%
o 4728
 
7.5%
n 3845
 
6.1%
i 3725
 
5.9%
t 3572
 
5.7%
a 3383
 
5.4%
s 3190
 
5.1%
r 3075
 
4.9%
d 2264
 
3.6%
Other values (69) 21334
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 62690
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8625
13.8%
e 4949
 
7.9%
o 4728
 
7.5%
n 3845
 
6.1%
i 3725
 
5.9%
t 3572
 
5.7%
a 3383
 
5.4%
s 3190
 
5.1%
r 3075
 
4.9%
d 2264
 
3.6%
Other values (69) 21334
34.0%

Violation Points - 15
Categorical

MISSING 

Distinct3
Distinct (%)0.2%
Missing77639
Missing (%)98.3%
Memory size3.0 MiB
1.0
736 
3.0
336 
2.0
273 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4035
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 736
 
0.9%
3.0 336
 
0.4%
2.0 273
 
0.3%
(Missing) 77639
98.3%

Length

2024-06-24T01:08:06.603155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:06.944024image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 736
54.7%
3.0 336
25.0%
2.0 273
 
20.3%

Most occurring characters

ValueCountFrequency (%)
. 1345
33.3%
0 1345
33.3%
1 736
18.2%
3 336
 
8.3%
2 273
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4035
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1345
33.3%
0 1345
33.3%
1 736
18.2%
3 336
 
8.3%
2 273
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4035
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1345
33.3%
0 1345
33.3%
1 736
18.2%
3 336
 
8.3%
2 273
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4035
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1345
33.3%
0 1345
33.3%
1 736
18.2%
3 336
 
8.3%
2 273
 
6.8%

Violation Detail - 15
Text

MISSING 

Distinct237
Distinct (%)18.0%
Missing77664
Missing (%)98.3%
Memory size3.0 MiB
2024-06-24T01:08:07.623336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length568
Mean length365.73182
Min length125

Characters and Unicode

Total characters482766
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)7.2%

Sample

1st row228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd row(b) Demonstration of knowledge by person in charge of a food establishment. Based on the risks of foodborne illness inherent to the food operation, the person in charge shall, during inspections and upon request, demonstrate to the director knowledge of foodborne disease prevention, application of the Hazard Analysis Critical Control Point principles, and the requirements of this chapter. The person in charge shall demonstrate this knowledge by compliance with this chapter, by being a registered food protection manager who has shown proficiency of required information through passing a test that is part of an accredited program and by responding correctly to the inspector's questions as they relate to the specific food operation. The person in charge may demonstrate such knowledge by
4th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 3617
 
5.4%
food 2883
 
4.3%
of 2213
 
3.3%
the 1894
 
2.8%
a 1781
 
2.7%
shall 1470
 
2.2%
in 1453
 
2.2%
be 1334
 
2.0%
or 1266
 
1.9%
equipment 1081
 
1.6%
Other values (1586) 47863
71.6%
2024-06-24T01:08:08.915378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98883
20.5%
e 40906
 
8.5%
a 28488
 
5.9%
i 27918
 
5.8%
n 27627
 
5.7%
o 26636
 
5.5%
t 26453
 
5.5%
s 25729
 
5.3%
r 19304
 
4.0%
d 16111
 
3.3%
Other values (61) 144711
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 482766
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
98883
20.5%
e 40906
 
8.5%
a 28488
 
5.9%
i 27918
 
5.8%
n 27627
 
5.7%
o 26636
 
5.5%
t 26453
 
5.5%
s 25729
 
5.3%
r 19304
 
4.0%
d 16111
 
3.3%
Other values (61) 144711
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 482766
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
98883
20.5%
e 40906
 
8.5%
a 28488
 
5.9%
i 27918
 
5.8%
n 27627
 
5.7%
o 26636
 
5.5%
t 26453
 
5.5%
s 25729
 
5.3%
r 19304
 
4.0%
d 16111
 
3.3%
Other values (61) 144711
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 482766
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
98883
20.5%
e 40906
 
8.5%
a 28488
 
5.9%
i 27918
 
5.8%
n 27627
 
5.7%
o 26636
 
5.5%
t 26453
 
5.5%
s 25729
 
5.3%
r 19304
 
4.0%
d 16111
 
3.3%
Other values (61) 144711
30.0%

Violation Memo - 15
Text

MISSING 

Distinct1002
Distinct (%)91.3%
Missing77886
Missing (%)98.6%
Memory size2.5 MiB
2024-06-24T01:08:09.724686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length818
Median length151
Mean length49.046448
Min length4

Characters and Unicode

Total characters53853
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique951 ?
Unique (%)86.6%

Sample

1st rowPIC must be ensure to separated raw food from cooked food inside cooler units
2nd rowmilk 46 F eggs 47 ham 46 F
3rd rowProvide hand wash sign at all hand wash sinks.
4th rowDo not use bowl to scoop food. Use scoop with handle.
5th rowdoor needs to be closed at all times
ValueCountFrequency (%)
in 294
 
3.3%
food 204
 
2.3%
and 192
 
2.1%
on 177
 
2.0%
clean 163
 
1.8%
all 161
 
1.8%
at 122
 
1.4%
of 121
 
1.3%
to 118
 
1.3%
provide 112
 
1.2%
Other values (1527) 7334
81.5%
2024-06-24T01:08:11.163151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8323
 
15.5%
e 3755
 
7.0%
o 2951
 
5.5%
a 2555
 
4.7%
n 2463
 
4.6%
i 2320
 
4.3%
r 2264
 
4.2%
s 2207
 
4.1%
t 2206
 
4.1%
l 1522
 
2.8%
Other values (72) 23287
43.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 53853
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8323
 
15.5%
e 3755
 
7.0%
o 2951
 
5.5%
a 2555
 
4.7%
n 2463
 
4.6%
i 2320
 
4.3%
r 2264
 
4.2%
s 2207
 
4.1%
t 2206
 
4.1%
l 1522
 
2.8%
Other values (72) 23287
43.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 53853
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8323
 
15.5%
e 3755
 
7.0%
o 2951
 
5.5%
a 2555
 
4.7%
n 2463
 
4.6%
i 2320
 
4.3%
r 2264
 
4.2%
s 2207
 
4.1%
t 2206
 
4.1%
l 1522
 
2.8%
Other values (72) 23287
43.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 53853
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8323
 
15.5%
e 3755
 
7.0%
o 2951
 
5.5%
a 2555
 
4.7%
n 2463
 
4.6%
i 2320
 
4.3%
r 2264
 
4.2%
s 2207
 
4.1%
t 2206
 
4.1%
l 1522
 
2.8%
Other values (72) 23287
43.2%
Distinct191
Distinct (%)21.3%
Missing78089
Missing (%)98.9%
Memory size2.5 MiB
2024-06-24T01:08:11.925188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length81
Mean length46.70838
Min length13

Characters and Unicode

Total characters41804
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)8.5%

Sample

1st row*42 Nonfood-contact surfaces material
2nd row*47 Handwashing signage
3rd row*09 Raw ready to eat - Food protected from cross contamination by separating, storage, preparation,
4th row*40 Reuse of single service articles
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
food 254
 
3.9%
148
 
2.3%
in 120
 
1.8%
or 112
 
1.7%
and 103
 
1.6%
for 73
 
1.1%
to 73
 
1.1%
of 68
 
1.0%
42 68
 
1.0%
dirty 65
 
1.0%
Other values (582) 5421
83.3%
2024-06-24T01:08:13.296107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5705
13.6%
e 3400
 
8.1%
o 3027
 
7.2%
n 2577
 
6.2%
i 2557
 
6.1%
t 2411
 
5.8%
s 2238
 
5.4%
a 2173
 
5.2%
r 2007
 
4.8%
d 1476
 
3.5%
Other values (66) 14233
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41804
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5705
13.6%
e 3400
 
8.1%
o 3027
 
7.2%
n 2577
 
6.2%
i 2557
 
6.1%
t 2411
 
5.8%
s 2238
 
5.4%
a 2173
 
5.2%
r 2007
 
4.8%
d 1476
 
3.5%
Other values (66) 14233
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41804
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5705
13.6%
e 3400
 
8.1%
o 3027
 
7.2%
n 2577
 
6.2%
i 2557
 
6.1%
t 2411
 
5.8%
s 2238
 
5.4%
a 2173
 
5.2%
r 2007
 
4.8%
d 1476
 
3.5%
Other values (66) 14233
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41804
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5705
13.6%
e 3400
 
8.1%
o 3027
 
7.2%
n 2577
 
6.2%
i 2557
 
6.1%
t 2411
 
5.8%
s 2238
 
5.4%
a 2173
 
5.2%
r 2007
 
4.8%
d 1476
 
3.5%
Other values (66) 14233
34.0%

Violation Points - 16
Categorical

MISSING 

Distinct3
Distinct (%)0.3%
Missing78089
Missing (%)98.9%
Memory size3.0 MiB
1.0
497 
3.0
207 
2.0
191 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2685
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 497
 
0.6%
3.0 207
 
0.3%
2.0 191
 
0.2%
(Missing) 78089
98.9%

Length

2024-06-24T01:08:13.821182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:14.225623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 497
55.5%
3.0 207
23.1%
2.0 191
 
21.3%

Most occurring characters

ValueCountFrequency (%)
. 895
33.3%
0 895
33.3%
1 497
18.5%
3 207
 
7.7%
2 191
 
7.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2685
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 895
33.3%
0 895
33.3%
1 497
18.5%
3 207
 
7.7%
2 191
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2685
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 895
33.3%
0 895
33.3%
1 497
18.5%
3 207
 
7.7%
2 191
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2685
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 895
33.3%
0 895
33.3%
1 497
18.5%
3 207
 
7.7%
2 191
 
7.1%

Violation Detail - 16
Text

MISSING 

Distinct194
Distinct (%)22.1%
Missing78106
Missing (%)98.9%
Memory size2.8 MiB
2024-06-24T01:08:14.651574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length493
Mean length348.52278
Min length125

Characters and Unicode

Total characters306003
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)8.9%

Sample

1st row228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.
2nd row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (A) except as specified in subparagraph (A)(iii) of this paragraph,separating raw animal foods during storage, preparation, holding, and display from: (i) raw ready-to-eat food including other raw animal food such as fish for sushi or molluscan shellfish, or other raw ready-to-eat food such as vegetables; and
4th row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 2421
 
5.8%
food 1661
 
4.0%
of 1395
 
3.3%
the 1191
 
2.8%
a 1098
 
2.6%
shall 971
 
2.3%
be 872
 
2.1%
in 818
 
1.9%
equipment 796
 
1.9%
or 786
 
1.9%
Other values (1372) 29976
71.4%
2024-06-24T01:08:15.487249image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62874
20.5%
e 26074
 
8.5%
a 17942
 
5.9%
i 17796
 
5.8%
n 17579
 
5.7%
t 16845
 
5.5%
s 16738
 
5.5%
o 16393
 
5.4%
r 11952
 
3.9%
d 10080
 
3.3%
Other values (61) 91730
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 306003
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
62874
20.5%
e 26074
 
8.5%
a 17942
 
5.9%
i 17796
 
5.8%
n 17579
 
5.7%
t 16845
 
5.5%
s 16738
 
5.5%
o 16393
 
5.4%
r 11952
 
3.9%
d 10080
 
3.3%
Other values (61) 91730
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 306003
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
62874
20.5%
e 26074
 
8.5%
a 17942
 
5.9%
i 17796
 
5.8%
n 17579
 
5.7%
t 16845
 
5.5%
s 16738
 
5.5%
o 16393
 
5.4%
r 11952
 
3.9%
d 10080
 
3.3%
Other values (61) 91730
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 306003
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
62874
20.5%
e 26074
 
8.5%
a 17942
 
5.9%
i 17796
 
5.8%
n 17579
 
5.7%
t 16845
 
5.5%
s 16738
 
5.5%
o 16393
 
5.4%
r 11952
 
3.9%
d 10080
 
3.3%
Other values (61) 91730
30.0%

Violation Memo - 16
Text

MISSING 

Distinct689
Distinct (%)92.5%
Missing78239
Missing (%)99.1%
Memory size2.5 MiB
2024-06-24T01:08:16.015154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length397
Median length121
Mean length45.707383
Min length4

Characters and Unicode

Total characters34052
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique662 ?
Unique (%)88.9%

Sample

1st rowFoil lined surfaces
2nd rowprovide hand washing signs
3rd rowObserved raw prawns stored over cut peppers and onions. Raw chicken and pork over onions, Raw egg over vegetables.
4th rowDo not re-use single-use containers (Foil pans and butter container).
5th rowclean gaskets around cooler doors
ValueCountFrequency (%)
in 191
 
3.4%
and 124
 
2.2%
food 120
 
2.1%
clean 115
 
2.0%
on 104
 
1.8%
provide 96
 
1.7%
all 88
 
1.6%
hand 80
 
1.4%
of 74
 
1.3%
sink 73
 
1.3%
Other values (1149) 4612
81.2%
2024-06-24T01:08:16.841941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5108
 
15.0%
e 2552
 
7.5%
o 1917
 
5.6%
a 1697
 
5.0%
n 1674
 
4.9%
s 1620
 
4.8%
i 1605
 
4.7%
r 1541
 
4.5%
t 1488
 
4.4%
d 1063
 
3.1%
Other values (67) 13787
40.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 34052
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5108
 
15.0%
e 2552
 
7.5%
o 1917
 
5.6%
a 1697
 
5.0%
n 1674
 
4.9%
s 1620
 
4.8%
i 1605
 
4.7%
r 1541
 
4.5%
t 1488
 
4.4%
d 1063
 
3.1%
Other values (67) 13787
40.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 34052
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5108
 
15.0%
e 2552
 
7.5%
o 1917
 
5.6%
a 1697
 
5.0%
n 1674
 
4.9%
s 1620
 
4.8%
i 1605
 
4.7%
r 1541
 
4.5%
t 1488
 
4.4%
d 1063
 
3.1%
Other values (67) 13787
40.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 34052
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5108
 
15.0%
e 2552
 
7.5%
o 1917
 
5.6%
a 1697
 
5.0%
n 1674
 
4.9%
s 1620
 
4.8%
i 1605
 
4.7%
r 1541
 
4.5%
t 1488
 
4.4%
d 1063
 
3.1%
Other values (67) 13787
40.5%
Distinct176
Distinct (%)31.8%
Missing78431
Missing (%)99.3%
Memory size2.4 MiB
2024-06-24T01:08:17.233414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length70
Mean length46.792043
Min length12

Characters and Unicode

Total characters25876
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)16.5%

Sample

1st row*37 Storing the food at least 15 cm (6 inches) above the floor
2nd row*41 Food storage containers, identified with common name of food.
3rd row*21 RFSM - Not On Site
4th row*31 Hand sinks: number installed for convenient use
5th row*45 Premises shall be maintained in good repair
ValueCountFrequency (%)
food 158
 
3.9%
95
 
2.4%
in 82
 
2.0%
or 61
 
1.5%
not 50
 
1.2%
of 48
 
1.2%
47 46
 
1.1%
for 45
 
1.1%
45 44
 
1.1%
shall 42
 
1.0%
Other values (567) 3370
83.4%
2024-06-24T01:08:17.933911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3560
13.8%
e 2137
 
8.3%
o 1850
 
7.1%
i 1636
 
6.3%
n 1622
 
6.3%
t 1446
 
5.6%
a 1385
 
5.4%
s 1346
 
5.2%
r 1226
 
4.7%
d 878
 
3.4%
Other values (65) 8790
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25876
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3560
13.8%
e 2137
 
8.3%
o 1850
 
7.1%
i 1636
 
6.3%
n 1622
 
6.3%
t 1446
 
5.6%
a 1385
 
5.4%
s 1346
 
5.2%
r 1226
 
4.7%
d 878
 
3.4%
Other values (65) 8790
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25876
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3560
13.8%
e 2137
 
8.3%
o 1850
 
7.1%
i 1636
 
6.3%
n 1622
 
6.3%
t 1446
 
5.6%
a 1385
 
5.4%
s 1346
 
5.2%
r 1226
 
4.7%
d 878
 
3.4%
Other values (65) 8790
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25876
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3560
13.8%
e 2137
 
8.3%
o 1850
 
7.1%
i 1636
 
6.3%
n 1622
 
6.3%
t 1446
 
5.6%
a 1385
 
5.4%
s 1346
 
5.2%
r 1226
 
4.7%
d 878
 
3.4%
Other values (65) 8790
34.0%

Violation Points - 17
Categorical

MISSING 

Distinct3
Distinct (%)0.5%
Missing78431
Missing (%)99.3%
Memory size3.0 MiB
1.0
314 
2.0
127 
3.0
112 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1659
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 314
 
0.4%
2.0 127
 
0.2%
3.0 112
 
0.1%
(Missing) 78431
99.3%

Length

2024-06-24T01:08:18.202808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:18.415544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 314
56.8%
2.0 127
23.0%
3.0 112
 
20.3%

Most occurring characters

ValueCountFrequency (%)
. 553
33.3%
0 553
33.3%
1 314
18.9%
2 127
 
7.7%
3 112
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1659
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 553
33.3%
0 553
33.3%
1 314
18.9%
2 127
 
7.7%
3 112
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1659
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 553
33.3%
0 553
33.3%
1 314
18.9%
2 127
 
7.7%
3 112
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1659
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 553
33.3%
0 553
33.3%
1 314
18.9%
2 127
 
7.7%
3 112
 
6.8%

Violation Detail - 17
Text

MISSING 

Distinct177
Distinct (%)32.7%
Missing78443
Missing (%)99.3%
Memory size2.6 MiB
2024-06-24T01:08:18.854300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length829
Median length507
Mean length367.96488
Min length127

Characters and Unicode

Total characters199069
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)17.2%

Sample

1st row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.
2nd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
3rd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
4th row228.147 Water, Plumbing, and Waste. Plumbing, numbers and capacities. (a) Handwashing facilities. (1) Except as specified in paragraphs (2) and (3) of this subsection, at least one handwashing lavatory, a number of handwashing lavatories necessary for their convenient use by employees in areas specified in õ228.148 of this title, and not fewer than the number of handwashing lavatories required by the Plumbing Code shall be provided.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
ValueCountFrequency (%)
and 1496
 
5.4%
food 1224
 
4.4%
the 900
 
3.3%
of 866
 
3.1%
a 753
 
2.7%
shall 637
 
2.3%
in 623
 
2.3%
be 561
 
2.0%
or 508
 
1.8%
equipment 422
 
1.5%
Other values (1371) 19635
71.1%
2024-06-24T01:08:19.730473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40111
20.1%
e 16981
 
8.5%
i 11810
 
5.9%
a 11792
 
5.9%
n 11522
 
5.8%
o 11040
 
5.5%
t 10963
 
5.5%
s 10658
 
5.4%
r 7974
 
4.0%
d 6685
 
3.4%
Other values (62) 59533
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 199069
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
40111
20.1%
e 16981
 
8.5%
i 11810
 
5.9%
a 11792
 
5.9%
n 11522
 
5.8%
o 11040
 
5.5%
t 10963
 
5.5%
s 10658
 
5.4%
r 7974
 
4.0%
d 6685
 
3.4%
Other values (62) 59533
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 199069
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
40111
20.1%
e 16981
 
8.5%
i 11810
 
5.9%
a 11792
 
5.9%
n 11522
 
5.8%
o 11040
 
5.5%
t 10963
 
5.5%
s 10658
 
5.4%
r 7974
 
4.0%
d 6685
 
3.4%
Other values (62) 59533
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 199069
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
40111
20.1%
e 16981
 
8.5%
i 11810
 
5.9%
a 11792
 
5.9%
n 11522
 
5.8%
o 11040
 
5.5%
t 10963
 
5.5%
s 10658
 
5.4%
r 7974
 
4.0%
d 6685
 
3.4%
Other values (62) 59533
29.9%

Violation Memo - 17
Text

MISSING 

Distinct427
Distinct (%)94.9%
Missing78534
Missing (%)99.4%
Memory size2.4 MiB
2024-06-24T01:08:20.284581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length225
Median length102
Mean length45.313333
Min length2

Characters and Unicode

Total characters20391
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique415 ?
Unique (%)92.2%

Sample

1st rowLabel food with common name.
2nd rowNo RFSM on duty during inspection (expired 1/22/19)
3rd rowno faucet for handwash Sink@ bar
4th rowRepair wall near grill where edge is detached. Re-caulk around 3-comp sink.
5th rowrepair leaking faucet at hand sink and re-attach hand sinks
ValueCountFrequency (%)
in 86
 
2.5%
food 79
 
2.3%
on 66
 
1.9%
all 64
 
1.9%
and 62
 
1.8%
clean 51
 
1.5%
sink 49
 
1.4%
provide 47
 
1.4%
hand 42
 
1.2%
be 42
 
1.2%
Other values (824) 2814
82.7%
2024-06-24T01:08:21.124971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3060
 
15.0%
e 1518
 
7.4%
o 1212
 
5.9%
n 1075
 
5.3%
a 1045
 
5.1%
i 1029
 
5.0%
s 964
 
4.7%
r 940
 
4.6%
t 888
 
4.4%
l 670
 
3.3%
Other values (65) 7990
39.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20391
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3060
 
15.0%
e 1518
 
7.4%
o 1212
 
5.9%
n 1075
 
5.3%
a 1045
 
5.1%
i 1029
 
5.0%
s 964
 
4.7%
r 940
 
4.6%
t 888
 
4.4%
l 670
 
3.3%
Other values (65) 7990
39.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20391
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3060
 
15.0%
e 1518
 
7.4%
o 1212
 
5.9%
n 1075
 
5.3%
a 1045
 
5.1%
i 1029
 
5.0%
s 964
 
4.7%
r 940
 
4.6%
t 888
 
4.4%
l 670
 
3.3%
Other values (65) 7990
39.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20391
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3060
 
15.0%
e 1518
 
7.4%
o 1212
 
5.9%
n 1075
 
5.3%
a 1045
 
5.1%
i 1029
 
5.0%
s 964
 
4.7%
r 940
 
4.6%
t 888
 
4.4%
l 670
 
3.3%
Other values (65) 7990
39.2%
Distinct136
Distinct (%)38.4%
Missing78630
Missing (%)99.6%
Memory size2.4 MiB
2024-06-24T01:08:21.579067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length66
Mean length46.827684
Min length13

Characters and Unicode

Total characters16577
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)22.3%

Sample

1st row*33 Warewashing sinks and drain boards, self-draining.
2nd row*42 Dirty nonfood contact surfaces
3rd row*10 Clean Sight and Touch
4th row*47 Other Violations
5th row*06 Discard if TCS is in container w/ no date or day
ValueCountFrequency (%)
food 94
 
3.6%
in 61
 
2.3%
58
 
2.2%
or 40
 
1.5%
for 34
 
1.3%
45 31
 
1.2%
be 31
 
1.2%
and 30
 
1.2%
shall 29
 
1.1%
light 27
 
1.0%
Other values (466) 2161
83.2%
2024-06-24T01:08:22.330417image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2287
13.8%
e 1370
 
8.3%
o 1143
 
6.9%
i 1029
 
6.2%
n 1007
 
6.1%
s 921
 
5.6%
t 914
 
5.5%
a 877
 
5.3%
r 767
 
4.6%
d 562
 
3.4%
Other values (61) 5700
34.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16577
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2287
13.8%
e 1370
 
8.3%
o 1143
 
6.9%
i 1029
 
6.2%
n 1007
 
6.1%
s 921
 
5.6%
t 914
 
5.5%
a 877
 
5.3%
r 767
 
4.6%
d 562
 
3.4%
Other values (61) 5700
34.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16577
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2287
13.8%
e 1370
 
8.3%
o 1143
 
6.9%
i 1029
 
6.2%
n 1007
 
6.1%
s 921
 
5.6%
t 914
 
5.5%
a 877
 
5.3%
r 767
 
4.6%
d 562
 
3.4%
Other values (61) 5700
34.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16577
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2287
13.8%
e 1370
 
8.3%
o 1143
 
6.9%
i 1029
 
6.2%
n 1007
 
6.1%
s 921
 
5.6%
t 914
 
5.5%
a 877
 
5.3%
r 767
 
4.6%
d 562
 
3.4%
Other values (61) 5700
34.4%

Violation Points - 18
Categorical

MISSING 

Distinct3
Distinct (%)0.8%
Missing78630
Missing (%)99.6%
Memory size3.0 MiB
1.0
195 
2.0
83 
3.0
76 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1062
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 195
 
0.2%
2.0 83
 
0.1%
3.0 76
 
0.1%
(Missing) 78630
99.6%

Length

2024-06-24T01:08:22.647421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:22.910578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 195
55.1%
2.0 83
23.4%
3.0 76
 
21.5%

Most occurring characters

ValueCountFrequency (%)
. 354
33.3%
0 354
33.3%
1 195
18.4%
2 83
 
7.8%
3 76
 
7.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1062
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 354
33.3%
0 354
33.3%
1 195
18.4%
2 83
 
7.8%
3 76
 
7.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1062
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 354
33.3%
0 354
33.3%
1 195
18.4%
2 83
 
7.8%
3 76
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1062
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 354
33.3%
0 354
33.3%
1 195
18.4%
2 83
 
7.8%
3 76
 
7.2%

Violation Detail - 18
Text

MISSING 

Distinct137
Distinct (%)39.6%
Missing78638
Missing (%)99.6%
Memory size2.6 MiB
2024-06-24T01:08:23.309330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length829
Median length475
Mean length353.80058
Min length125

Characters and Unicode

Total characters122415
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)23.4%

Sample

1st row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (s) Warewashing sinks and drain boards, self-draining. Sinks and drain boards of warewashing sinks and machines shall be self-draining.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
4th row228.75 Food. Time and temperature control. (h) Ready-to-eat, TCS food, disposition. (1) A food specified in subsection (g)(1) or (2) of this section shall be discarded if it: (B) is in a container or package that does not bear a date or day; or
5th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
ValueCountFrequency (%)
and 979
 
5.8%
food 653
 
3.9%
of 518
 
3.1%
a 464
 
2.8%
the 446
 
2.7%
shall 382
 
2.3%
in 366
 
2.2%
be 332
 
2.0%
or 310
 
1.8%
equipment 293
 
1.7%
Other values (1127) 12048
71.8%
2024-06-24T01:08:24.150838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25050
20.5%
e 10444
 
8.5%
i 7322
 
6.0%
a 7301
 
6.0%
n 7147
 
5.8%
s 6731
 
5.5%
t 6602
 
5.4%
o 6400
 
5.2%
r 4786
 
3.9%
d 4021
 
3.3%
Other values (59) 36611
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 122415
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
25050
20.5%
e 10444
 
8.5%
i 7322
 
6.0%
a 7301
 
6.0%
n 7147
 
5.8%
s 6731
 
5.5%
t 6602
 
5.4%
o 6400
 
5.2%
r 4786
 
3.9%
d 4021
 
3.3%
Other values (59) 36611
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 122415
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
25050
20.5%
e 10444
 
8.5%
i 7322
 
6.0%
a 7301
 
6.0%
n 7147
 
5.8%
s 6731
 
5.5%
t 6602
 
5.4%
o 6400
 
5.2%
r 4786
 
3.9%
d 4021
 
3.3%
Other values (59) 36611
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 122415
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
25050
20.5%
e 10444
 
8.5%
i 7322
 
6.0%
a 7301
 
6.0%
n 7147
 
5.8%
s 6731
 
5.5%
t 6602
 
5.4%
o 6400
 
5.2%
r 4786
 
3.9%
d 4021
 
3.3%
Other values (59) 36611
29.9%

Violation Memo - 18
Text

MISSING 

Distinct283
Distinct (%)96.9%
Missing78692
Missing (%)99.6%
Memory size2.4 MiB
2024-06-24T01:08:24.793958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length230
Median length93
Mean length47.941781
Min length4

Characters and Unicode

Total characters13999
Distinct characters78
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)94.5%

Sample

1st rowDeep cleaning needed. Observed dirty fan in WIC, dirty shelves, vent hood.
2nd rowclean can opener ice machine incredibly slimy soda gun and holster very slimy
3rd rowMake sign: "Most recent inspection report available upon request.
4th rowno date marking on prepared food items
5th rowobserved employees donning gloves without washing hands
ValueCountFrequency (%)
in 57
 
2.4%
on 53
 
2.3%
and 46
 
2.0%
food 46
 
2.0%
all 37
 
1.6%
at 36
 
1.5%
hand 32
 
1.4%
clean 31
 
1.3%
of 31
 
1.3%
be 30
 
1.3%
Other values (685) 1929
82.9%
2024-06-24T01:08:26.696033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2124
15.2%
e 1128
 
8.1%
o 835
 
6.0%
n 781
 
5.6%
a 748
 
5.3%
i 742
 
5.3%
t 729
 
5.2%
s 692
 
4.9%
r 639
 
4.6%
l 466
 
3.3%
Other values (68) 5115
36.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13999
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2124
15.2%
e 1128
 
8.1%
o 835
 
6.0%
n 781
 
5.6%
a 748
 
5.3%
i 742
 
5.3%
t 729
 
5.2%
s 692
 
4.9%
r 639
 
4.6%
l 466
 
3.3%
Other values (68) 5115
36.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13999
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2124
15.2%
e 1128
 
8.1%
o 835
 
6.0%
n 781
 
5.6%
a 748
 
5.3%
i 742
 
5.3%
t 729
 
5.2%
s 692
 
4.9%
r 639
 
4.6%
l 466
 
3.3%
Other values (68) 5115
36.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13999
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2124
15.2%
e 1128
 
8.1%
o 835
 
6.0%
n 781
 
5.6%
a 748
 
5.3%
i 742
 
5.3%
t 729
 
5.2%
s 692
 
4.9%
r 639
 
4.6%
l 466
 
3.3%
Other values (68) 5115
36.5%
Distinct94
Distinct (%)45.2%
Missing78776
Missing (%)99.7%
Memory size2.4 MiB
2024-06-24T01:08:27.470973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length80
Mean length45.649038
Min length20

Characters and Unicode

Total characters9495
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)24.0%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*20 Grease Trap Tickets
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*10 Equipment and Utensils Cleaning-contamination
5th row*38 Thawing. under running water criteria - < 4 hours
ValueCountFrequency (%)
food 66
 
4.5%
in 35
 
2.4%
31
 
2.1%
of 22
 
1.5%
or 21
 
1.4%
and 19
 
1.3%
equipment 19
 
1.3%
for 18
 
1.2%
cross 17
 
1.2%
45 17
 
1.2%
Other values (358) 1206
82.0%
2024-06-24T01:08:28.787377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1288
 
13.6%
e 757
 
8.0%
o 703
 
7.4%
i 576
 
6.1%
n 570
 
6.0%
a 545
 
5.7%
t 536
 
5.6%
s 511
 
5.4%
r 449
 
4.7%
d 339
 
3.6%
Other values (63) 3221
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9495
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1288
 
13.6%
e 757
 
8.0%
o 703
 
7.4%
i 576
 
6.1%
n 570
 
6.0%
a 545
 
5.7%
t 536
 
5.6%
s 511
 
5.4%
r 449
 
4.7%
d 339
 
3.6%
Other values (63) 3221
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9495
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1288
 
13.6%
e 757
 
8.0%
o 703
 
7.4%
i 576
 
6.1%
n 570
 
6.0%
a 545
 
5.7%
t 536
 
5.6%
s 511
 
5.4%
r 449
 
4.7%
d 339
 
3.6%
Other values (63) 3221
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9495
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1288
 
13.6%
e 757
 
8.0%
o 703
 
7.4%
i 576
 
6.1%
n 570
 
6.0%
a 545
 
5.7%
t 536
 
5.6%
s 511
 
5.4%
r 449
 
4.7%
d 339
 
3.6%
Other values (63) 3221
33.9%

Violation Points - 19
Categorical

MISSING 

Distinct3
Distinct (%)1.4%
Missing78776
Missing (%)99.7%
Memory size3.0 MiB
1.0
122 
3.0
51 
2.0
35 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters624
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 122
 
0.2%
3.0 51
 
0.1%
2.0 35
 
< 0.1%
(Missing) 78776
99.7%

Length

2024-06-24T01:08:29.265643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:29.734557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 122
58.7%
3.0 51
24.5%
2.0 35
 
16.8%

Most occurring characters

ValueCountFrequency (%)
. 208
33.3%
0 208
33.3%
1 122
19.6%
3 51
 
8.2%
2 35
 
5.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 624
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 208
33.3%
0 208
33.3%
1 122
19.6%
3 51
 
8.2%
2 35
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 624
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 208
33.3%
0 208
33.3%
1 122
19.6%
3 51
 
8.2%
2 35
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 624
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 208
33.3%
0 208
33.3%
1 122
19.6%
3 51
 
8.2%
2 35
 
5.6%

Violation Detail - 19
Text

MISSING 

Distinct93
Distinct (%)45.4%
Missing78779
Missing (%)99.7%
Memory size2.5 MiB
2024-06-24T01:08:30.489319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length456
Mean length350.67317
Min length127

Characters and Unicode

Total characters71888
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)24.4%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (D) for a period of time that does not allow thawed portions of a raw animal food requiring cooking as specified in õ228.71(a)(1) or (2) of this title to be above 5 degrees Celsius (41 degrees Fahrenheit) for more than four hours including
ValueCountFrequency (%)
and 547
 
5.5%
food 363
 
3.7%
of 316
 
3.2%
a 288
 
2.9%
the 279
 
2.8%
shall 226
 
2.3%
be 197
 
2.0%
in 179
 
1.8%
equipment 172
 
1.7%
or 171
 
1.7%
Other values (920) 7118
72.2%
2024-06-24T01:08:31.801728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15015
20.9%
e 6002
 
8.3%
a 4270
 
5.9%
i 4189
 
5.8%
n 4043
 
5.6%
s 3963
 
5.5%
t 3915
 
5.4%
o 3858
 
5.4%
r 2888
 
4.0%
d 2325
 
3.2%
Other values (61) 21420
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 71888
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15015
20.9%
e 6002
 
8.3%
a 4270
 
5.9%
i 4189
 
5.8%
n 4043
 
5.6%
s 3963
 
5.5%
t 3915
 
5.4%
o 3858
 
5.4%
r 2888
 
4.0%
d 2325
 
3.2%
Other values (61) 21420
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 71888
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15015
20.9%
e 6002
 
8.3%
a 4270
 
5.9%
i 4189
 
5.8%
n 4043
 
5.6%
s 3963
 
5.5%
t 3915
 
5.4%
o 3858
 
5.4%
r 2888
 
4.0%
d 2325
 
3.2%
Other values (61) 21420
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 71888
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15015
20.9%
e 6002
 
8.3%
a 4270
 
5.9%
i 4189
 
5.8%
n 4043
 
5.6%
s 3963
 
5.5%
t 3915
 
5.4%
o 3858
 
5.4%
r 2888
 
4.0%
d 2325
 
3.2%
Other values (61) 21420
29.8%

Violation Memo - 19
Text

MISSING 

Distinct164
Distinct (%)97.0%
Missing78815
Missing (%)99.8%
Memory size2.4 MiB
2024-06-24T01:08:32.306048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length245
Median length83
Mean length48.769231
Min length9

Characters and Unicode

Total characters8242
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)95.3%

Sample

1st rowRepair tiles in floor, repair/replace fan cover in WIC.
2nd rowProvide current grease trap records
3rd rowdeep clean floors ( behind and under equipment ), remove build- up from vent hood system, clean walls by hand and prep sink, & remove dust from ceiling over prep area
4th rowcooler units in all areas dirty with food debris, spills, blood and soils accumulations must be clean to avoid cross contamination
5th rownot properly thawing procedures must be thawing food in an clean and running water
ValueCountFrequency (%)
food 37
 
2.7%
all 33
 
2.4%
and 32
 
2.3%
in 31
 
2.2%
clean 29
 
2.1%
to 27
 
2.0%
on 20
 
1.4%
must 19
 
1.4%
be 17
 
1.2%
not 16
 
1.2%
Other values (479) 1119
81.1%
2024-06-24T01:08:33.133401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1278
15.5%
e 676
 
8.2%
o 563
 
6.8%
r 447
 
5.4%
a 444
 
5.4%
n 428
 
5.2%
s 422
 
5.1%
t 402
 
4.9%
i 387
 
4.7%
d 293
 
3.6%
Other values (62) 2902
35.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8242
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1278
15.5%
e 676
 
8.2%
o 563
 
6.8%
r 447
 
5.4%
a 444
 
5.4%
n 428
 
5.2%
s 422
 
5.1%
t 402
 
4.9%
i 387
 
4.7%
d 293
 
3.6%
Other values (62) 2902
35.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8242
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1278
15.5%
e 676
 
8.2%
o 563
 
6.8%
r 447
 
5.4%
a 444
 
5.4%
n 428
 
5.2%
s 422
 
5.1%
t 402
 
4.9%
i 387
 
4.7%
d 293
 
3.6%
Other values (62) 2902
35.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8242
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1278
15.5%
e 676
 
8.2%
o 563
 
6.8%
r 447
 
5.4%
a 444
 
5.4%
n 428
 
5.2%
s 422
 
5.1%
t 402
 
4.9%
i 387
 
4.7%
d 293
 
3.6%
Other values (62) 2902
35.2%
Distinct70
Distinct (%)53.0%
Missing78852
Missing (%)99.8%
Memory size2.4 MiB
2024-06-24T01:08:33.492584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length66
Mean length45.825758
Min length20

Characters and Unicode

Total characters6049
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)31.8%

Sample

1st row*32 Damaged Equipment
2nd row*29 Sanitizing solutions, testing devices
3rd row*10 Equipment and Utensils Sanitization
4th row*42 Floors/walls/ceiling/nonfood dirty
5th row*37 Unpackaged food may not be stored in direct contact with undrained ice
ValueCountFrequency (%)
food 40
 
4.2%
in 23
 
2.4%
47 17
 
1.8%
16
 
1.7%
be 15
 
1.6%
of 14
 
1.5%
45 13
 
1.4%
and 13
 
1.4%
or 13
 
1.4%
equipment 13
 
1.4%
Other values (317) 766
81.2%
2024-06-24T01:08:34.142817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
832
13.8%
e 502
 
8.3%
o 456
 
7.5%
n 376
 
6.2%
i 375
 
6.2%
s 332
 
5.5%
a 331
 
5.5%
t 330
 
5.5%
r 288
 
4.8%
d 233
 
3.9%
Other values (59) 1994
33.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6049
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
832
13.8%
e 502
 
8.3%
o 456
 
7.5%
n 376
 
6.2%
i 375
 
6.2%
s 332
 
5.5%
a 331
 
5.5%
t 330
 
5.5%
r 288
 
4.8%
d 233
 
3.9%
Other values (59) 1994
33.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6049
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
832
13.8%
e 502
 
8.3%
o 456
 
7.5%
n 376
 
6.2%
i 375
 
6.2%
s 332
 
5.5%
a 331
 
5.5%
t 330
 
5.5%
r 288
 
4.8%
d 233
 
3.9%
Other values (59) 1994
33.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6049
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
832
13.8%
e 502
 
8.3%
o 456
 
7.5%
n 376
 
6.2%
i 375
 
6.2%
s 332
 
5.5%
a 331
 
5.5%
t 330
 
5.5%
r 288
 
4.8%
d 233
 
3.9%
Other values (59) 1994
33.0%

Violation Points - 20
Categorical

MISSING 

Distinct3
Distinct (%)2.3%
Missing78852
Missing (%)99.8%
Memory size3.0 MiB
1.0
76 
3.0
34 
2.0
22 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters396
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 76
 
0.1%
3.0 34
 
< 0.1%
2.0 22
 
< 0.1%
(Missing) 78852
99.8%

Length

2024-06-24T01:08:34.405379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:34.626343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 76
57.6%
3.0 34
25.8%
2.0 22
 
16.7%

Most occurring characters

ValueCountFrequency (%)
. 132
33.3%
0 132
33.3%
1 76
19.2%
3 34
 
8.6%
2 22
 
5.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 396
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 132
33.3%
0 132
33.3%
1 76
19.2%
3 34
 
8.6%
2 22
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 396
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 132
33.3%
0 132
33.3%
1 76
19.2%
3 34
 
8.6%
2 22
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 396
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 132
33.3%
0 132
33.3%
1 76
19.2%
3 34
 
8.6%
2 22
 
5.6%

Violation Detail - 20
Text

MISSING 

Distinct69
Distinct (%)54.8%
Missing78858
Missing (%)99.8%
Memory size2.5 MiB
2024-06-24T01:08:35.057656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length433
Mean length338.13492
Min length184

Characters and Unicode

Total characters42605
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)33.3%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.118 Equipment, Utensils, and Linens. Sanitization Methods, Hot Water and Chemicals. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (1) hot water manual operations by immersion for at least 30 seconds and as specified in õ228.111(k) of this title;
4th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
5th row228.67 Food. Preventing contamination from ice used as a coolant. (b) Storage or display of food in contact with water or ice. (2) Except as specified in paragraphs (3) and (4) of this subsection, unpackaged food may not be stored in direct contact with undrained ice.
ValueCountFrequency (%)
and 328
 
5.6%
food 233
 
4.0%
the 182
 
3.1%
of 174
 
3.0%
a 152
 
2.6%
shall 137
 
2.3%
in 122
 
2.1%
be 119
 
2.0%
or 103
 
1.8%
equipment 89
 
1.5%
Other values (769) 4212
72.0%
2024-06-24T01:08:35.904884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8807
20.7%
e 3544
 
8.3%
i 2528
 
5.9%
a 2528
 
5.9%
n 2431
 
5.7%
s 2386
 
5.6%
t 2326
 
5.5%
o 2315
 
5.4%
r 1672
 
3.9%
d 1401
 
3.3%
Other values (59) 12667
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42605
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8807
20.7%
e 3544
 
8.3%
i 2528
 
5.9%
a 2528
 
5.9%
n 2431
 
5.7%
s 2386
 
5.6%
t 2326
 
5.5%
o 2315
 
5.4%
r 1672
 
3.9%
d 1401
 
3.3%
Other values (59) 12667
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42605
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8807
20.7%
e 3544
 
8.3%
i 2528
 
5.9%
a 2528
 
5.9%
n 2431
 
5.7%
s 2386
 
5.6%
t 2326
 
5.5%
o 2315
 
5.4%
r 1672
 
3.9%
d 1401
 
3.3%
Other values (59) 12667
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42605
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8807
20.7%
e 3544
 
8.3%
i 2528
 
5.9%
a 2528
 
5.9%
n 2431
 
5.7%
s 2386
 
5.6%
t 2326
 
5.5%
o 2315
 
5.4%
r 1672
 
3.9%
d 1401
 
3.3%
Other values (59) 12667
29.7%

Violation Memo - 20
Text

MISSING 

Distinct111
Distinct (%)99.1%
Missing78872
Missing (%)99.9%
Memory size2.4 MiB
2024-06-24T01:08:36.356668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length247
Median length72.5
Mean length45.919643
Min length9

Characters and Unicode

Total characters5143
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)98.2%

Sample

1st rowreplace damage gaskets
2nd rowmissing sanitizing strips to check chemical concentration must be have sanitizing strips to verified chemical concentration
3rd rowutensils must be sanitize
4th rowCLEAN FRPS, WALLS, FLOORS, FAN VENT COVERS & GASKETS
5th rowLETTUCE STORED IN STANDING WATER
ValueCountFrequency (%)
on 25
 
2.9%
in 20
 
2.3%
food 18
 
2.1%
to 16
 
1.8%
be 15
 
1.7%
must 14
 
1.6%
all 14
 
1.6%
hand 14
 
1.6%
and 13
 
1.5%
raw 11
 
1.3%
Other values (346) 711
81.6%
2024-06-24T01:08:37.112341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
809
15.7%
e 389
 
7.6%
o 312
 
6.1%
a 304
 
5.9%
i 281
 
5.5%
s 279
 
5.4%
n 276
 
5.4%
t 263
 
5.1%
r 232
 
4.5%
l 160
 
3.1%
Other values (60) 1838
35.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5143
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
809
15.7%
e 389
 
7.6%
o 312
 
6.1%
a 304
 
5.9%
i 281
 
5.5%
s 279
 
5.4%
n 276
 
5.4%
t 263
 
5.1%
r 232
 
4.5%
l 160
 
3.1%
Other values (60) 1838
35.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5143
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
809
15.7%
e 389
 
7.6%
o 312
 
6.1%
a 304
 
5.9%
i 281
 
5.5%
s 279
 
5.4%
n 276
 
5.4%
t 263
 
5.1%
r 232
 
4.5%
l 160
 
3.1%
Other values (60) 1838
35.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5143
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
809
15.7%
e 389
 
7.6%
o 312
 
6.1%
a 304
 
5.9%
i 281
 
5.5%
s 279
 
5.4%
n 276
 
5.4%
t 263
 
5.1%
r 232
 
4.5%
l 160
 
3.1%
Other values (60) 1838
35.7%
Distinct51
Distinct (%)68.9%
Missing78910
Missing (%)99.9%
Memory size2.4 MiB
2024-06-24T01:08:37.551697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length62
Mean length46.702703
Min length16

Characters and Unicode

Total characters3456
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)51.4%

Sample

1st row*14 When to wash hands before donning new gloves
2nd row*31 Handwashing lavatory - used for other purpose
3rd row*45 Premises shall be maintained in good repair
4th row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
5th row*02 Cold Hold (41øF/45øF or below)
ValueCountFrequency (%)
food 18
 
3.3%
13
 
2.4%
or 10
 
1.8%
in 10
 
1.8%
to 10
 
1.8%
47 9
 
1.6%
other 9
 
1.6%
cross 7
 
1.3%
storage 6
 
1.1%
contamination 6
 
1.1%
Other values (250) 454
82.2%
2024-06-24T01:08:38.265022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
485
14.0%
e 276
 
8.0%
o 266
 
7.7%
i 199
 
5.8%
a 193
 
5.6%
t 189
 
5.5%
s 182
 
5.3%
n 179
 
5.2%
r 167
 
4.8%
d 119
 
3.4%
Other values (58) 1201
34.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3456
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
485
14.0%
e 276
 
8.0%
o 266
 
7.7%
i 199
 
5.8%
a 193
 
5.6%
t 189
 
5.5%
s 182
 
5.3%
n 179
 
5.2%
r 167
 
4.8%
d 119
 
3.4%
Other values (58) 1201
34.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3456
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
485
14.0%
e 276
 
8.0%
o 266
 
7.7%
i 199
 
5.8%
a 193
 
5.6%
t 189
 
5.5%
s 182
 
5.3%
n 179
 
5.2%
r 167
 
4.8%
d 119
 
3.4%
Other values (58) 1201
34.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3456
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
485
14.0%
e 276
 
8.0%
o 266
 
7.7%
i 199
 
5.8%
a 193
 
5.6%
t 189
 
5.5%
s 182
 
5.3%
n 179
 
5.2%
r 167
 
4.8%
d 119
 
3.4%
Other values (58) 1201
34.8%

Violation Points - 21
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)4.1%
Missing78910
Missing (%)99.9%
Memory size3.0 MiB
1.0
33 
3.0
26 
2.0
15 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters222
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 33
 
< 0.1%
3.0 26
 
< 0.1%
2.0 15
 
< 0.1%
(Missing) 78910
99.9%

Length

2024-06-24T01:08:38.530859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:38.775081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 33
44.6%
3.0 26
35.1%
2.0 15
20.3%

Most occurring characters

ValueCountFrequency (%)
. 74
33.3%
0 74
33.3%
1 33
14.9%
3 26
 
11.7%
2 15
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 74
33.3%
0 74
33.3%
1 33
14.9%
3 26
 
11.7%
2 15
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 74
33.3%
0 74
33.3%
1 33
14.9%
3 26
 
11.7%
2 15
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 74
33.3%
0 74
33.3%
1 33
14.9%
3 26
 
11.7%
2 15
 
6.8%

Violation Detail - 21
Text

MISSING 

Distinct50
Distinct (%)72.5%
Missing78915
Missing (%)99.9%
Memory size2.4 MiB
2024-06-24T01:08:39.109818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length457
Mean length377.34783
Min length163

Characters and Unicode

Total characters26037
Distinct characters69
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)55.1%

Sample

1st row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
2nd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
3rd row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
4th row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
ValueCountFrequency (%)
and 213
 
5.9%
food 157
 
4.3%
the 110
 
3.0%
of 106
 
2.9%
a 91
 
2.5%
shall 78
 
2.1%
in 71
 
2.0%
be 70
 
1.9%
or 69
 
1.9%
as 59
 
1.6%
Other values (639) 2617
71.9%
2024-06-24T01:08:39.802011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5356
20.6%
e 2190
 
8.4%
a 1606
 
6.2%
i 1488
 
5.7%
n 1476
 
5.7%
o 1469
 
5.6%
t 1406
 
5.4%
s 1403
 
5.4%
r 1048
 
4.0%
d 930
 
3.6%
Other values (59) 7665
29.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26037
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5356
20.6%
e 2190
 
8.4%
a 1606
 
6.2%
i 1488
 
5.7%
n 1476
 
5.7%
o 1469
 
5.6%
t 1406
 
5.4%
s 1403
 
5.4%
r 1048
 
4.0%
d 930
 
3.6%
Other values (59) 7665
29.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26037
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5356
20.6%
e 2190
 
8.4%
a 1606
 
6.2%
i 1488
 
5.7%
n 1476
 
5.7%
o 1469
 
5.6%
t 1406
 
5.4%
s 1403
 
5.4%
r 1048
 
4.0%
d 930
 
3.6%
Other values (59) 7665
29.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26037
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5356
20.6%
e 2190
 
8.4%
a 1606
 
6.2%
i 1488
 
5.7%
n 1476
 
5.7%
o 1469
 
5.6%
t 1406
 
5.4%
s 1403
 
5.4%
r 1048
 
4.0%
d 930
 
3.6%
Other values (59) 7665
29.4%

Violation Memo - 21
Text

MISSING 

Distinct62
Distinct (%)98.4%
Missing78921
Missing (%)99.9%
Memory size2.4 MiB
2024-06-24T01:08:40.258086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length211
Median length54
Mean length44.952381
Min length5

Characters and Unicode

Total characters2832
Distinct characters71
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)96.8%

Sample

1st rowHAND SINK USED TO AS A PREP SINK
2nd rowrepair water heater, water damaged ceiling tile.
3rd rowraw shell eggs over guac
4th rowcooler units must be maintain 40 F or below
5th rowdirty linen on open bags close to utensils must be maintain in a close container with lid to avoid pest harboring and unlawful smells
ValueCountFrequency (%)
and 13
 
2.7%
food 10
 
2.1%
with 9
 
1.9%
in 9
 
1.9%
of 8
 
1.7%
to 8
 
1.7%
must 8
 
1.7%
provide 8
 
1.7%
clean 7
 
1.5%
be 7
 
1.5%
Other values (233) 388
81.7%
2024-06-24T01:08:41.030288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
15.1%
e 244
 
8.6%
a 173
 
6.1%
o 165
 
5.8%
n 161
 
5.7%
t 155
 
5.5%
i 154
 
5.4%
s 139
 
4.9%
r 135
 
4.8%
d 99
 
3.5%
Other values (61) 980
34.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2832
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
427
15.1%
e 244
 
8.6%
a 173
 
6.1%
o 165
 
5.8%
n 161
 
5.7%
t 155
 
5.5%
i 154
 
5.4%
s 139
 
4.9%
r 135
 
4.8%
d 99
 
3.5%
Other values (61) 980
34.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2832
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
427
15.1%
e 244
 
8.6%
a 173
 
6.1%
o 165
 
5.8%
n 161
 
5.7%
t 155
 
5.5%
i 154
 
5.4%
s 139
 
4.9%
r 135
 
4.8%
d 99
 
3.5%
Other values (61) 980
34.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2832
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
427
15.1%
e 244
 
8.6%
a 173
 
6.1%
o 165
 
5.8%
n 161
 
5.7%
t 155
 
5.5%
i 154
 
5.4%
s 139
 
4.9%
r 135
 
4.8%
d 99
 
3.5%
Other values (61) 980
34.6%
Distinct25
Distinct (%)75.8%
Missing78951
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:41.500986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length53
Mean length48.848485
Min length12

Characters and Unicode

Total characters1612
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)60.6%

Sample

1st row*32 Equipment has cracks and corners
2nd row*47 Conditions of Permit-in use of food equipment
3rd row*12 A food employee shall comply with an exclusion or RESTRICTION
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*43 Clean vent syst:Intake/exhaust air ducts
ValueCountFrequency (%)
food 14
 
5.6%
of 8
 
3.2%
8
 
3.2%
other 6
 
2.4%
47 6
 
2.4%
contamination 5
 
2.0%
in 5
 
2.0%
shall 5
 
2.0%
and 5
 
2.0%
32 5
 
2.0%
Other values (119) 185
73.4%
2024-06-24T01:08:42.623909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
224
13.9%
o 129
 
8.0%
e 121
 
7.5%
n 105
 
6.5%
t 100
 
6.2%
a 96
 
6.0%
i 90
 
5.6%
s 84
 
5.2%
r 81
 
5.0%
d 44
 
2.7%
Other values (49) 538
33.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1612
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
224
13.9%
o 129
 
8.0%
e 121
 
7.5%
n 105
 
6.5%
t 100
 
6.2%
a 96
 
6.0%
i 90
 
5.6%
s 84
 
5.2%
r 81
 
5.0%
d 44
 
2.7%
Other values (49) 538
33.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1612
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
224
13.9%
o 129
 
8.0%
e 121
 
7.5%
n 105
 
6.5%
t 100
 
6.2%
a 96
 
6.0%
i 90
 
5.6%
s 84
 
5.2%
r 81
 
5.0%
d 44
 
2.7%
Other values (49) 538
33.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1612
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
224
13.9%
o 129
 
8.0%
e 121
 
7.5%
n 105
 
6.5%
t 100
 
6.2%
a 96
 
6.0%
i 90
 
5.6%
s 84
 
5.2%
r 81
 
5.0%
d 44
 
2.7%
Other values (49) 538
33.4%

Violation Points - 22
Categorical

MISSING 

Distinct3
Distinct (%)9.1%
Missing78951
Missing (%)> 99.9%
Memory size3.0 MiB
1.0
17 
2.0
14 
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters99
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 17
 
< 0.1%
2.0 14
 
< 0.1%
3.0 2
 
< 0.1%
(Missing) 78951
> 99.9%

Length

2024-06-24T01:08:43.122107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:43.526257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 17
51.5%
2.0 14
42.4%
3.0 2
 
6.1%

Most occurring characters

ValueCountFrequency (%)
. 33
33.3%
0 33
33.3%
1 17
17.2%
2 14
14.1%
3 2
 
2.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 33
33.3%
0 33
33.3%
1 17
17.2%
2 14
14.1%
3 2
 
2.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 33
33.3%
0 33
33.3%
1 17
17.2%
2 14
14.1%
3 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 99
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 33
33.3%
0 33
33.3%
1 17
17.2%
2 14
14.1%
3 2
 
2.0%

Violation Detail - 22
Text

MISSING 

Distinct24
Distinct (%)80.0%
Missing78954
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:44.186219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length342.5
Mean length362.76667
Min length194

Characters and Unicode

Total characters10883
Distinct characters65
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)66.7%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (3) free of sharp internal angles, corners, and crevices;
2nd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
3rd row228.35 Management and Personnel. Responsibilities and Reporting Symptoms and Diagnosis. (f) A food employee shall: (2) comply with a restriction as specified in õ228.36(4)(B), (5)(B), (6)(B), (7), (8)(B), or õ228.36 (8), (9), or (10) and comply with the provisions specified in õ228.37(4) - (10) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.
ValueCountFrequency (%)
and 73
 
4.8%
the 72
 
4.7%
food 72
 
4.7%
of 49
 
3.2%
a 46
 
3.0%
in 38
 
2.5%
shall 36
 
2.4%
be 32
 
2.1%
or 31
 
2.0%
by 22
 
1.4%
Other values (401) 1053
69.1%
2024-06-24T01:08:45.487238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2311
21.2%
e 872
 
8.0%
a 651
 
6.0%
t 637
 
5.9%
o 617
 
5.7%
i 603
 
5.5%
s 554
 
5.1%
n 548
 
5.0%
r 436
 
4.0%
d 361
 
3.3%
Other values (55) 3293
30.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10883
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2311
21.2%
e 872
 
8.0%
a 651
 
6.0%
t 637
 
5.9%
o 617
 
5.7%
i 603
 
5.5%
s 554
 
5.1%
n 548
 
5.0%
r 436
 
4.0%
d 361
 
3.3%
Other values (55) 3293
30.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10883
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2311
21.2%
e 872
 
8.0%
a 651
 
6.0%
t 637
 
5.9%
o 617
 
5.7%
i 603
 
5.5%
s 554
 
5.1%
n 548
 
5.0%
r 436
 
4.0%
d 361
 
3.3%
Other values (55) 3293
30.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10883
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2311
21.2%
e 872
 
8.0%
a 651
 
6.0%
t 637
 
5.9%
o 617
 
5.7%
i 603
 
5.5%
s 554
 
5.1%
n 548
 
5.0%
r 436
 
4.0%
d 361
 
3.3%
Other values (55) 3293
30.3%

Violation Memo - 22
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing78953
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:46.388772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length374
Median length51
Mean length58.709677
Min length17

Characters and Unicode

Total characters1820
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st rowequipment broken in all areas must be replace or repair to proper condition
2nd rowpost consumer health.
3rd rowmissing employee health policies and procedures
4th rowmissing date marking on food containers must be have date marks to avoid cross contamination
5th rowMust clean air intake vent near restrooms
ValueCountFrequency (%)
in 11
 
3.6%
all 8
 
2.6%
to 8
 
2.6%
sink 7
 
2.3%
food 7
 
2.3%
must 6
 
2.0%
replace 6
 
2.0%
missing 6
 
2.0%
hand 6
 
2.0%
and 6
 
2.0%
Other values (156) 234
76.7%
2024-06-24T01:08:47.900477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
16.1%
e 145
 
8.0%
o 116
 
6.4%
n 107
 
5.9%
a 107
 
5.9%
s 104
 
5.7%
i 102
 
5.6%
t 94
 
5.2%
r 86
 
4.7%
l 71
 
3.9%
Other values (43) 595
32.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
293
16.1%
e 145
 
8.0%
o 116
 
6.4%
n 107
 
5.9%
a 107
 
5.9%
s 104
 
5.7%
i 102
 
5.6%
t 94
 
5.2%
r 86
 
4.7%
l 71
 
3.9%
Other values (43) 595
32.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
293
16.1%
e 145
 
8.0%
o 116
 
6.4%
n 107
 
5.9%
a 107
 
5.9%
s 104
 
5.7%
i 102
 
5.6%
t 94
 
5.2%
r 86
 
4.7%
l 71
 
3.9%
Other values (43) 595
32.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
293
16.1%
e 145
 
8.0%
o 116
 
6.4%
n 107
 
5.9%
a 107
 
5.9%
s 104
 
5.7%
i 102
 
5.6%
t 94
 
5.2%
r 86
 
4.7%
l 71
 
3.9%
Other values (43) 595
32.7%
Distinct17
Distinct (%)94.4%
Missing78966
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:48.610519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length49
Mean length51.222222
Min length20

Characters and Unicode

Total characters922
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row*44 Receptacles prevent debris, insect, rodents, allow for cleaning
2nd row*10 Equipment and Utensils Cleaning-contamination
3rd row*47 RFSM Certificate - Not Display
4th row*22 Accredited food handler certificate - 60 days
5th row*39 Cooking equipment free of encrusted grease
ValueCountFrequency (%)
4
 
2.8%
for 4
 
2.8%
or 4
 
2.8%
in 3
 
2.1%
food 3
 
2.1%
47 3
 
2.1%
and 2
 
1.4%
certificate 2
 
1.4%
a 2
 
1.4%
of 2
 
1.4%
Other values (105) 116
80.0%
2024-06-24T01:08:49.827480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
13.9%
e 80
 
8.7%
o 64
 
6.9%
n 54
 
5.9%
i 52
 
5.6%
t 52
 
5.6%
r 47
 
5.1%
a 44
 
4.8%
s 41
 
4.4%
d 30
 
3.3%
Other values (52) 330
35.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 922
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
128
 
13.9%
e 80
 
8.7%
o 64
 
6.9%
n 54
 
5.9%
i 52
 
5.6%
t 52
 
5.6%
r 47
 
5.1%
a 44
 
4.8%
s 41
 
4.4%
d 30
 
3.3%
Other values (52) 330
35.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 922
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
128
 
13.9%
e 80
 
8.7%
o 64
 
6.9%
n 54
 
5.9%
i 52
 
5.6%
t 52
 
5.6%
r 47
 
5.1%
a 44
 
4.8%
s 41
 
4.4%
d 30
 
3.3%
Other values (52) 330
35.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 922
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
128
 
13.9%
e 80
 
8.7%
o 64
 
6.9%
n 54
 
5.9%
i 52
 
5.6%
t 52
 
5.6%
r 47
 
5.1%
a 44
 
4.8%
s 41
 
4.4%
d 30
 
3.3%
Other values (52) 330
35.8%

Violation Points - 23
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)16.7%
Missing78966
Missing (%)> 99.9%
Memory size3.0 MiB
1.0
10 
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters54
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 10
 
< 0.1%
3.0 4
 
< 0.1%
2.0 4
 
< 0.1%
(Missing) 78966
> 99.9%

Length

2024-06-24T01:08:50.320465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:50.804471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 10
55.6%
3.0 4
 
22.2%
2.0 4
 
22.2%

Most occurring characters

ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 54
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 18
33.3%
0 18
33.3%
1 10
18.5%
3 4
 
7.4%
2 4
 
7.4%

Violation Detail - 23
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing78966
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:51.389121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length363
Mean length375.22222
Min length193

Characters and Unicode

Total characters6754
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)88.9%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (f) Outside receptacles. (2) Receptacles and waste handling units for refuse and recyclables such as an on-site compactor shall be installed so that accumulation of debris and insect and rodent attraction and harborage are minimized and effective cleaning is facilitated around and, if the unit is not installed flush with the base pad, under the unit.
2nd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
3rd rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
4th rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (2) The food-contact surfaces of cooking equipment and pans shall be kept free of encrusted grease deposits and other soil accumulations.
ValueCountFrequency (%)
and 64
 
6.8%
food 38
 
4.0%
the 34
 
3.6%
of 26
 
2.8%
shall 23
 
2.4%
be 21
 
2.2%
a 21
 
2.2%
or 18
 
1.9%
in 17
 
1.8%
equipment 14
 
1.5%
Other values (323) 667
70.7%
2024-06-24T01:08:52.580254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1381
20.4%
e 588
 
8.7%
a 440
 
6.5%
i 376
 
5.6%
t 373
 
5.5%
n 372
 
5.5%
o 356
 
5.3%
s 349
 
5.2%
r 266
 
3.9%
d 247
 
3.7%
Other values (54) 2006
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6754
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1381
20.4%
e 588
 
8.7%
a 440
 
6.5%
i 376
 
5.6%
t 373
 
5.5%
n 372
 
5.5%
o 356
 
5.3%
s 349
 
5.2%
r 266
 
3.9%
d 247
 
3.7%
Other values (54) 2006
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6754
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1381
20.4%
e 588
 
8.7%
a 440
 
6.5%
i 376
 
5.6%
t 373
 
5.5%
n 372
 
5.5%
o 356
 
5.3%
s 349
 
5.2%
r 266
 
3.9%
d 247
 
3.7%
Other values (54) 2006
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6754
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1381
20.4%
e 588
 
8.7%
a 440
 
6.5%
i 376
 
5.6%
t 373
 
5.5%
n 372
 
5.5%
o 356
 
5.3%
s 349
 
5.2%
r 266
 
3.9%
d 247
 
3.7%
Other values (54) 2006
29.7%

Violation Memo - 23
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing78967
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:53.433513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length103
Median length50
Mean length50.176471
Min length7

Characters and Unicode

Total characters853
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowtrash receptacles dirty with out lids must be have lids and properly clean
2nd rowsanitize food surfaces during operational hours
3rd rowmissing RFSM certificate must be have FSM registered with the city
4th rowfood handler certificates expired
5th rowcooking equipment dirty with soils and grease accumulations must be clean to avoid cross contamination
ValueCountFrequency (%)
at 4
 
2.9%
food 3
 
2.1%
must 3
 
2.1%
clean 3
 
2.1%
hand 3
 
2.1%
be 3
 
2.1%
in 3
 
2.1%
with 3
 
2.1%
missing 3
 
2.1%
stored 3
 
2.1%
Other values (96) 109
77.9%
2024-06-24T01:08:54.739653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
15.0%
e 64
 
7.5%
i 52
 
6.1%
s 51
 
6.0%
o 50
 
5.9%
r 45
 
5.3%
a 44
 
5.2%
t 40
 
4.7%
n 37
 
4.3%
d 33
 
3.9%
Other values (48) 309
36.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 853
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
128
15.0%
e 64
 
7.5%
i 52
 
6.1%
s 51
 
6.0%
o 50
 
5.9%
r 45
 
5.3%
a 44
 
5.2%
t 40
 
4.7%
n 37
 
4.3%
d 33
 
3.9%
Other values (48) 309
36.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 853
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
128
15.0%
e 64
 
7.5%
i 52
 
6.1%
s 51
 
6.0%
o 50
 
5.9%
r 45
 
5.3%
a 44
 
5.2%
t 40
 
4.7%
n 37
 
4.3%
d 33
 
3.9%
Other values (48) 309
36.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 853
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
128
15.0%
e 64
 
7.5%
i 52
 
6.1%
s 51
 
6.0%
o 50
 
5.9%
r 45
 
5.3%
a 44
 
5.2%
t 40
 
4.7%
n 37
 
4.3%
d 33
 
3.9%
Other values (48) 309
36.2%
Distinct10
Distinct (%)83.3%
Missing78972
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:55.420092image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length59
Median length47.5
Mean length44.75
Min length23

Characters and Unicode

Total characters537
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)66.7%

Sample

1st row*43 Ventilation hood-prevent grease dripping
2nd row*24 Food Labeling- with common name of the food
3rd row*46 Water, Plumbing, and Waste Plumbing Systems-good repair
4th row*36 Cloths in-use for wiping between uses stored
5th row*24 Food Labeling- with common name of the food
ValueCountFrequency (%)
food 4
 
4.8%
45 4
 
4.8%
be 3
 
3.6%
and 3
 
3.6%
repair 3
 
3.6%
plumbing 2
 
2.4%
equipment 2
 
2.4%
to 2
 
2.4%
good 2
 
2.4%
maintained 2
 
2.4%
Other values (46) 56
67.5%
2024-06-24T01:08:56.181061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
13.6%
e 44
 
8.2%
o 41
 
7.6%
i 38
 
7.1%
n 35
 
6.5%
a 27
 
5.0%
t 26
 
4.8%
s 26
 
4.8%
r 23
 
4.3%
d 20
 
3.7%
Other values (37) 184
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 537
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
73
 
13.6%
e 44
 
8.2%
o 41
 
7.6%
i 38
 
7.1%
n 35
 
6.5%
a 27
 
5.0%
t 26
 
4.8%
s 26
 
4.8%
r 23
 
4.3%
d 20
 
3.7%
Other values (37) 184
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 537
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
73
 
13.6%
e 44
 
8.2%
o 41
 
7.6%
i 38
 
7.1%
n 35
 
6.5%
a 27
 
5.0%
t 26
 
4.8%
s 26
 
4.8%
r 23
 
4.3%
d 20
 
3.7%
Other values (37) 184
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 537
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
73
 
13.6%
e 44
 
8.2%
o 41
 
7.6%
i 38
 
7.1%
n 35
 
6.5%
a 27
 
5.0%
t 26
 
4.8%
s 26
 
4.8%
r 23
 
4.3%
d 20
 
3.7%
Other values (37) 184
34.3%

Violation Points - 24
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)16.7%
Missing78972
Missing (%)> 99.9%
Memory size3.0 MiB
1.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters36
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 9
 
< 0.1%
2.0 3
 
< 0.1%
(Missing) 78972
> 99.9%

Length

2024-06-24T01:08:56.452095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:08:56.667389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 9
75.0%
2.0 3
 
25.0%

Most occurring characters

ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 12
33.3%
0 12
33.3%
1 9
25.0%
2 3
 
8.3%

Violation Detail - 24
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing78972
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:56.979766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length434
Median length316
Mean length275.41667
Min length198

Characters and Unicode

Total characters3305
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)66.7%

Sample

1st row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (a) Ventilation hood systems, drip prevention. Exhaust ventilation hood systems in food preparation and warewashing areas including components such as hoods, fans, guards, and ducting shall be designed to prevent grease or condensation from draining or dripping onto food, equipment, utensils, linens, and single-service and single-use articles.
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
3rd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (2) maintained in good repair.
4th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
5th row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
ValueCountFrequency (%)
and 28
 
6.6%
a 17
 
4.0%
equipment 17
 
4.0%
food 12
 
2.8%
shall 11
 
2.6%
in 11
 
2.6%
be 10
 
2.4%
of 10
 
2.4%
the 8
 
1.9%
utensils 7
 
1.7%
Other values (169) 293
69.1%
2024-06-24T01:08:57.638467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
726
22.0%
e 253
 
7.7%
i 219
 
6.6%
n 200
 
6.1%
s 194
 
5.9%
a 182
 
5.5%
t 160
 
4.8%
o 153
 
4.6%
l 114
 
3.4%
d 102
 
3.1%
Other values (49) 1002
30.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3305
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
726
22.0%
e 253
 
7.7%
i 219
 
6.6%
n 200
 
6.1%
s 194
 
5.9%
a 182
 
5.5%
t 160
 
4.8%
o 153
 
4.6%
l 114
 
3.4%
d 102
 
3.1%
Other values (49) 1002
30.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3305
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
726
22.0%
e 253
 
7.7%
i 219
 
6.6%
n 200
 
6.1%
s 194
 
5.9%
a 182
 
5.5%
t 160
 
4.8%
o 153
 
4.6%
l 114
 
3.4%
d 102
 
3.1%
Other values (49) 1002
30.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3305
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
726
22.0%
e 253
 
7.7%
i 219
 
6.6%
n 200
 
6.1%
s 194
 
5.9%
a 182
 
5.5%
t 160
 
4.8%
o 153
 
4.6%
l 114
 
3.4%
d 102
 
3.1%
Other values (49) 1002
30.3%

Violation Memo - 24
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing78972
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:58.108154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length186
Median length63
Mean length72.833333
Min length10

Characters and Unicode

Total characters874
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowvent hood dirty with soils and encrusted grease must be clean to avoid cross contamination
2nd rowmissing labels on all food containers must be have labels in all food containers
3rd rowwater faucets detach from sinks in all areas must be replace or repair to proper condition
4th rowStore wet wiping cloth in sanitizer solution
5th rowBulk items
ValueCountFrequency (%)
in 5
 
3.4%
and 5
 
3.4%
to 5
 
3.4%
be 4
 
2.8%
must 4
 
2.8%
clean 3
 
2.1%
of 3
 
2.1%
floor 3
 
2.1%
the 3
 
2.1%
repair 3
 
2.1%
Other values (86) 107
73.8%
2024-06-24T01:08:58.834922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
16.5%
e 72
 
8.2%
o 65
 
7.4%
a 61
 
7.0%
n 53
 
6.1%
i 51
 
5.8%
r 51
 
5.8%
t 47
 
5.4%
s 43
 
4.9%
l 37
 
4.2%
Other values (41) 250
28.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 874
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
144
16.5%
e 72
 
8.2%
o 65
 
7.4%
a 61
 
7.0%
n 53
 
6.1%
i 51
 
5.8%
r 51
 
5.8%
t 47
 
5.4%
s 43
 
4.9%
l 37
 
4.2%
Other values (41) 250
28.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 874
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
144
16.5%
e 72
 
8.2%
o 65
 
7.4%
a 61
 
7.0%
n 53
 
6.1%
i 51
 
5.8%
r 51
 
5.8%
t 47
 
5.4%
s 43
 
4.9%
l 37
 
4.2%
Other values (41) 250
28.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 874
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
144
16.5%
e 72
 
8.2%
o 65
 
7.4%
a 61
 
7.0%
n 53
 
6.1%
i 51
 
5.8%
r 51
 
5.8%
t 47
 
5.4%
s 43
 
4.9%
l 37
 
4.2%
Other values (41) 250
28.6%
Distinct6
Distinct (%)100.0%
Missing78978
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:08:59.186134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length50
Median length33.5
Mean length35.166667
Min length20

Characters and Unicode

Total characters211
Distinct characters43
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row*10 Equipment and Utensils Cleaning-contamination
2nd row*31 Individual, disposable towels
3rd row*42 Dirty nonfood contact surfaces
4th row*29 Cold/hot hold unit thermometer easily viewable
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
10 2
 
6.9%
and 2
 
6.9%
29 1
 
3.4%
other 1
 
3.4%
47 1
 
3.4%
touch 1
 
3.4%
sight 1
 
3.4%
clean 1
 
3.4%
viewable 1
 
3.4%
easily 1
 
3.4%
Other values (17) 17
58.6%
2024-06-24T01:08:59.736427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
10.9%
n 16
 
7.6%
o 15
 
7.1%
i 15
 
7.1%
t 15
 
7.1%
e 14
 
6.6%
a 13
 
6.2%
l 11
 
5.2%
s 9
 
4.3%
d 8
 
3.8%
Other values (33) 72
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 211
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
23
 
10.9%
n 16
 
7.6%
o 15
 
7.1%
i 15
 
7.1%
t 15
 
7.1%
e 14
 
6.6%
a 13
 
6.2%
l 11
 
5.2%
s 9
 
4.3%
d 8
 
3.8%
Other values (33) 72
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 211
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
23
 
10.9%
n 16
 
7.6%
o 15
 
7.1%
i 15
 
7.1%
t 15
 
7.1%
e 14
 
6.6%
a 13
 
6.2%
l 11
 
5.2%
s 9
 
4.3%
d 8
 
3.8%
Other values (33) 72
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 211
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
23
 
10.9%
n 16
 
7.6%
o 15
 
7.1%
i 15
 
7.1%
t 15
 
7.1%
e 14
 
6.6%
a 13
 
6.2%
l 11
 
5.2%
s 9
 
4.3%
d 8
 
3.8%
Other values (33) 72
34.1%

Violation Points - 25
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct3
Distinct (%)50.0%
Missing78978
Missing (%)> 99.9%
Memory size3.0 MiB
3.0
2.0
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 2
 
< 0.1%
2.0 2
 
< 0.1%
1.0 2
 
< 0.1%
(Missing) 78978
> 99.9%

Length

2024-06-24T01:08:59.997262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:09:00.224248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3.0 2
33.3%
2.0 2
33.3%
1.0 2
33.3%

Most occurring characters

ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 6
33.3%
0 6
33.3%
3 2
 
11.1%
2 2
 
11.1%
1 2
 
11.1%

Violation Detail - 25
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing78979
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:09:00.611094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length482
Median length262
Mean length295.6
Min length220

Characters and Unicode

Total characters1478
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
2nd row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
4th row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (l) Temperature measuring devices. (2) Except as specified in paragraph (3) of this subsection, cold or hot holding equipment used for time/temperature control for safety (TCS) food shall be designed to include and shall be equipped with at least one integral or permanently affixed temperature measuring device that is located to allow easy viewing of the device's temperature display.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
equipment 13
 
6.9%
and 13
 
6.9%
of 10
 
5.3%
utensils 10
 
5.3%
be 6
 
3.2%
shall 6
 
3.2%
surfaces 6
 
3.2%
food-contact 4
 
2.1%
linens 4
 
2.1%
cleaning 3
 
1.6%
Other values (96) 113
60.1%
2024-06-24T01:09:01.282925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
21.9%
e 113
 
7.6%
n 96
 
6.5%
a 85
 
5.8%
t 82
 
5.5%
i 81
 
5.5%
s 72
 
4.9%
o 68
 
4.6%
d 52
 
3.5%
l 48
 
3.2%
Other values (44) 458
31.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1478
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
323
21.9%
e 113
 
7.6%
n 96
 
6.5%
a 85
 
5.8%
t 82
 
5.5%
i 81
 
5.5%
s 72
 
4.9%
o 68
 
4.6%
d 52
 
3.5%
l 48
 
3.2%
Other values (44) 458
31.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1478
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
323
21.9%
e 113
 
7.6%
n 96
 
6.5%
a 85
 
5.8%
t 82
 
5.5%
i 81
 
5.5%
s 72
 
4.9%
o 68
 
4.6%
d 52
 
3.5%
l 48
 
3.2%
Other values (44) 458
31.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1478
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
323
21.9%
e 113
 
7.6%
n 96
 
6.5%
a 85
 
5.8%
t 82
 
5.5%
i 81
 
5.5%
s 72
 
4.9%
o 68
 
4.6%
d 52
 
3.5%
l 48
 
3.2%
Other values (44) 458
31.0%

Violation Memo - 25
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing78978
Missing (%)> 99.9%
Memory size2.4 MiB
2024-06-24T01:09:01.644911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length171
Median length38
Mean length63
Min length9

Characters and Unicode

Total characters378
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowclean and sanitize all equipment
2nd rownot individual towels on hand sinks must be have individual towels on hand sinks during operational hours
3rd rowDirty dust on fans and vents above food prep areas and counters. dirty food containers, outside RIC doors, stoves, ovens, walls, vents, vent filters. Ice on freezer floor.
4th rowPROVIDE FOR ALL
5th rowCLEAN ALL
ValueCountFrequency (%)
all 4
 
6.3%
on 4
 
6.3%
hand 4
 
6.3%
sinks 3
 
4.8%
and 3
 
4.8%
clean 2
 
3.2%
dirty 2
 
3.2%
food 2
 
3.2%
individual 2
 
3.2%
towels 2
 
3.2%
Other values (33) 35
55.6%
2024-06-24T01:09:02.246670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
15.6%
n 32
 
8.5%
s 28
 
7.4%
e 26
 
6.9%
o 25
 
6.6%
a 24
 
6.3%
i 22
 
5.8%
d 19
 
5.0%
t 19
 
5.0%
r 15
 
4.0%
Other values (29) 109
28.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 378
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
59
15.6%
n 32
 
8.5%
s 28
 
7.4%
e 26
 
6.9%
o 25
 
6.6%
a 24
 
6.3%
i 22
 
5.8%
d 19
 
5.0%
t 19
 
5.0%
r 15
 
4.0%
Other values (29) 109
28.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 378
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
59
15.6%
n 32
 
8.5%
s 28
 
7.4%
e 26
 
6.9%
o 25
 
6.6%
a 24
 
6.3%
i 22
 
5.8%
d 19
 
5.0%
t 19
 
5.0%
r 15
 
4.0%
Other values (29) 109
28.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 378
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
59
15.6%
n 32
 
8.5%
s 28
 
7.4%
e 26
 
6.9%
o 25
 
6.6%
a 24
 
6.3%
i 22
 
5.8%
d 19
 
5.0%
t 19
 
5.0%
r 15
 
4.0%
Other values (29) 109
28.8%
Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size617.2 KiB
Minimum2016-10-01 00:00:00
Maximum2024-02-01 00:00:00
2024-06-24T01:09:02.522011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-24T01:09:02.791351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Year
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.7 MiB
FY2018
14412 
FY2017
13443 
FY2019
11342 
FY2023
9706 
FY2021
9319 
Other values (3)
20762 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters473904
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2020
2nd rowFY2020
3rd rowFY2020
4th rowFY2020
5th rowFY2017

Common Values

ValueCountFrequency (%)
FY2018 14412
18.2%
FY2017 13443
17.0%
FY2019 11342
14.4%
FY2023 9706
12.3%
FY2021 9319
11.8%
FY2020 9176
11.6%
FY2022 8246
10.4%
FY2024 3340
 
4.2%

Length

2024-06-24T01:09:03.016831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-24T01:09:03.301534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
fy2018 14412
18.2%
fy2017 13443
17.0%
fy2019 11342
14.4%
fy2023 9706
12.3%
fy2021 9319
11.8%
fy2020 9176
11.6%
fy2022 8246
10.4%
fy2024 3340
 
4.2%

Most occurring characters

ValueCountFrequency (%)
2 127017
26.8%
0 88160
18.6%
F 78984
16.7%
Y 78984
16.7%
1 48516
 
10.2%
8 14412
 
3.0%
7 13443
 
2.8%
9 11342
 
2.4%
3 9706
 
2.0%
4 3340
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 473904
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 127017
26.8%
0 88160
18.6%
F 78984
16.7%
Y 78984
16.7%
1 48516
 
10.2%
8 14412
 
3.0%
7 13443
 
2.8%
9 11342
 
2.4%
3 9706
 
2.0%
4 3340
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 473904
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 127017
26.8%
0 88160
18.6%
F 78984
16.7%
Y 78984
16.7%
1 48516
 
10.2%
8 14412
 
3.0%
7 13443
 
2.8%
9 11342
 
2.4%
3 9706
 
2.0%
4 3340
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 473904
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 127017
26.8%
0 88160
18.6%
F 78984
16.7%
Y 78984
16.7%
1 48516
 
10.2%
8 14412
 
3.0%
7 13443
 
2.8%
9 11342
 
2.4%
3 9706
 
2.0%
4 3340
 
0.7%
Distinct19517
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size7.3 MiB
2024-06-24T01:09:03.805586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length73
Median length66
Mean length40.167401
Min length10

Characters and Unicode

Total characters3172582
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9507 ?
Unique (%)12.0%

Sample

1st row3203 W CAMP WISDOM RD (32.662584, -96.873446)
2nd row2380 N FIELD ST (32.78904, -96.806882)
3rd row9271 WHITE ROCK TRL (32.872855, -96.728807)
4th row10295 FERGUSON RD (32.83427, -96.673672)
5th row1474 ANNEX AVE (32.80208, -96.7769)
ValueCountFrequency (%)
rd 19720
 
4.4%
ave 13924
 
3.1%
st 12071
 
2.7%
ln 8545
 
1.9%
w 7904
 
1.8%
n 7811
 
1.7%
blvd 7783
 
1.7%
s 6940
 
1.5%
dr 5063
 
1.1%
e 3730
 
0.8%
Other values (26878) 357474
79.3%
2024-06-24T01:09:04.661694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
301635
 
9.5%
2 182045
 
5.7%
3 176533
 
5.6%
9 175033
 
5.5%
6 165934
 
5.2%
1 157624
 
5.0%
8 155310
 
4.9%
0 143529
 
4.5%
. 140864
 
4.4%
7 139580
 
4.4%
Other values (37) 1434495
45.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3172582
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
301635
 
9.5%
2 182045
 
5.7%
3 176533
 
5.6%
9 175033
 
5.5%
6 165934
 
5.2%
1 157624
 
5.0%
8 155310
 
4.9%
0 143529
 
4.5%
. 140864
 
4.4%
7 139580
 
4.4%
Other values (37) 1434495
45.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3172582
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
301635
 
9.5%
2 182045
 
5.7%
3 176533
 
5.6%
9 175033
 
5.5%
6 165934
 
5.2%
1 157624
 
5.0%
8 155310
 
4.9%
0 143529
 
4.5%
. 140864
 
4.4%
7 139580
 
4.4%
Other values (37) 1434495
45.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3172582
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
301635
 
9.5%
2 182045
 
5.7%
3 176533
 
5.6%
9 175033
 
5.5%
6 165934
 
5.2%
1 157624
 
5.0%
8 155310
 
4.9%
0 143529
 
4.5%
. 140864
 
4.4%
7 139580
 
4.4%
Other values (37) 1434495
45.2%

Interactions

2024-06-24T01:06:18.543329image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-24T01:06:18.060667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-24T01:06:18.814170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-24T01:06:18.282178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-06-24T01:09:04.964634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Inspection ScoreInspection TypeInspection YearStreet DirectionStreet NumberStreet TypeViolation Points - 1Violation Points - 10Violation Points - 11Violation Points - 12Violation Points - 13Violation Points - 14Violation Points - 15Violation Points - 16Violation Points - 17Violation Points - 18Violation Points - 19Violation Points - 2Violation Points - 20Violation Points - 21Violation Points - 22Violation Points - 23Violation Points - 24Violation Points - 25Violation Points - 3Violation Points - 4Violation Points - 5Violation Points - 6Violation Points - 7Violation Points - 8Violation Points - 9
Inspection Score1.0000.0880.0260.0430.0070.0320.0640.0660.0870.1100.0740.0820.0640.0470.0800.0780.0000.1220.0000.1070.0000.0810.0000.0000.1400.1860.1340.1470.1110.1150.071
Inspection Type0.0881.0000.0250.010-0.0130.0230.0130.0350.0310.0310.0000.0050.0510.0000.0830.0000.0630.0090.0000.1560.0001.0001.0001.0000.0090.0190.0260.0160.0230.0310.019
Inspection Year0.0260.0251.0000.0320.0080.0210.0490.0610.0680.0850.0870.1020.1220.0940.1660.1170.1610.0320.1260.0000.0000.0480.0000.0000.0550.0800.0670.0830.0660.0870.064
Street Direction0.0430.0100.0321.000-0.1670.4500.0200.0150.0320.0000.0410.0760.0830.0480.0000.1210.0000.0270.0000.0000.0000.0001.0001.0000.0180.0280.0210.0260.0210.0200.034
Street Number0.007-0.0130.008-0.1671.0000.2570.0340.0170.0080.0000.0000.0430.0190.0000.0000.0000.1040.0180.0000.1720.0000.0000.0000.0000.0170.0280.0190.0240.0120.0180.020
Street Type0.0320.0230.0210.4500.2571.0000.0360.0430.0560.0650.0450.0730.0620.0900.0590.0880.0320.0270.0000.0000.3930.0820.0000.3330.0270.0400.0250.0400.0000.0280.032
Violation Points - 10.0640.0130.0490.0200.0340.0361.0000.1480.1470.1620.1630.2010.1880.1850.2070.2060.2070.1460.1110.3510.2110.2320.6940.0000.0770.0800.0970.1170.1270.1300.139
Violation Points - 100.0660.0350.0610.0150.0170.0430.1481.0000.0900.0890.1060.0770.0360.0640.0000.0930.0480.1460.1500.1160.1900.1380.3190.0000.1170.1120.1210.0810.0510.0630.099
Violation Points - 110.0870.0310.0680.0320.0080.0560.1470.0901.0000.1230.1210.1380.0980.0880.1040.0870.0690.1360.0000.0000.0480.0000.0610.0000.1320.1240.1330.0820.0610.0550.078
Violation Points - 120.1100.0310.0850.0000.0000.0650.1620.0890.1231.0000.1490.1510.1300.0990.1320.0890.1280.1530.0000.0000.0000.0000.0610.0000.1300.1060.1090.1100.0840.0850.049
Violation Points - 130.0740.0000.0870.0410.0000.0450.1630.1060.1210.1491.0000.1240.1130.1180.1330.1440.1490.1720.0000.0880.2090.2900.0000.0000.1500.1490.1500.1290.1290.1070.089
Violation Points - 140.0820.0050.1020.0760.0430.0730.2010.0770.1380.1510.1241.0000.1580.1420.1660.1120.0330.1890.0980.1060.0000.0000.0000.0000.1960.1070.1480.1450.1710.1380.074
Violation Points - 150.0640.0510.1220.0830.0190.0620.1880.0360.0980.1300.1130.1581.0000.1690.1710.1670.1650.1740.0770.0970.0000.0000.0000.0000.1550.1390.1750.1350.1500.1650.089
Violation Points - 160.0470.0000.0940.0480.0000.0900.1850.0640.0880.0990.1180.1420.1691.0000.1870.0680.1790.1570.2240.1470.0000.0000.4550.0000.1440.1380.1570.1260.1760.1430.110
Violation Points - 170.0800.0830.1660.0000.0000.0590.2070.0000.1040.1320.1330.1660.1710.1871.0000.1460.1030.1570.1350.1130.3240.2080.2620.0000.1690.1720.1600.1530.2040.2160.124
Violation Points - 180.0780.0000.1170.1210.0000.0880.2060.0930.0870.0890.1440.1120.1670.0680.1461.0000.1620.1450.0770.3140.0000.0450.0000.0000.1230.1590.1380.0780.1360.1410.170
Violation Points - 190.0000.0630.1610.0000.1040.0320.2070.0480.0690.1280.1490.0330.1650.1790.1030.1621.0000.2300.2240.1380.0000.0720.2510.0000.2520.2160.0530.1360.1960.1470.188
Violation Points - 20.1220.0090.0320.0270.0180.0270.1460.1460.1360.1530.1720.1890.1740.1570.1570.1450.2301.0000.2000.2710.3880.1650.4700.0000.1090.1040.0790.0930.0840.1080.130
Violation Points - 200.0000.0000.1260.0000.0000.0000.1110.1500.0000.0000.0000.0980.0770.2240.1350.0770.2240.2001.0000.2690.0000.0000.3190.1670.1340.2290.0900.0740.1460.0510.153
Violation Points - 210.1070.1560.0000.0000.1720.0000.3510.1160.0000.0000.0880.1060.0970.1470.1130.3140.1380.2710.2691.0000.2730.1350.0000.6670.1450.1750.1630.1520.2690.2260.273
Violation Points - 220.0000.0000.0000.0000.0000.3930.2110.1900.0480.0000.2090.0000.0000.0000.3240.0000.0000.3880.0000.2731.0000.2750.0000.0000.0000.2420.4020.1990.2430.3230.196
Violation Points - 230.0811.0000.0480.0000.0000.0820.2320.1380.0000.0000.2900.0000.0000.0000.2080.0450.0720.1650.0000.1350.2751.0000.2490.0000.0000.0000.0000.0000.0000.4420.000
Violation Points - 240.0001.0000.0001.0000.0000.0000.6940.3190.0610.0610.0000.0000.0000.4550.2620.0000.2510.4700.3190.0000.0000.2491.0000.0000.0000.0000.0000.4080.0610.2490.000
Violation Points - 250.0001.0000.0001.0000.0000.3330.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1670.6670.0000.0000.0001.0000.0000.1670.0000.1670.8660.0000.577
Violation Points - 30.1400.0090.0550.0180.0170.0270.0770.1170.1320.1300.1500.1960.1550.1440.1690.1230.2520.1090.1340.1450.0000.0000.0000.0001.0000.1250.0790.0980.0770.1020.094
Violation Points - 40.1860.0190.0800.0280.0280.0400.0800.1120.1240.1060.1490.1070.1390.1380.1720.1590.2160.1040.2290.1750.2420.0000.0000.1670.1251.0000.1230.0820.0840.1020.113
Violation Points - 50.1340.0260.0670.0210.0190.0250.0970.1210.1330.1090.1500.1480.1750.1570.1600.1380.0530.0790.0900.1630.4020.0000.0000.0000.0790.1231.0000.1180.0560.0890.081
Violation Points - 60.1470.0160.0830.0260.0240.0400.1170.0810.0820.1100.1290.1450.1350.1260.1530.0780.1360.0930.0740.1520.1990.0000.4080.1670.0980.0820.1181.0000.1100.0700.054
Violation Points - 70.1110.0230.0660.0210.0120.0000.1270.0510.0610.0840.1290.1710.1500.1760.2040.1360.1960.0840.1460.2690.2430.0000.0610.8660.0770.0840.0560.1101.0000.1100.061
Violation Points - 80.1150.0310.0870.0200.0180.0280.1300.0630.0550.0850.1070.1380.1650.1430.2160.1410.1470.1080.0510.2260.3230.4420.2490.0000.1020.1020.0890.0700.1101.0000.096
Violation Points - 90.0710.0190.0640.0340.0200.0320.1390.0990.0780.0490.0890.0740.0890.1100.1240.1700.1880.1300.1530.2730.1960.0000.0000.5770.0940.1130.0810.0540.0610.0961.000

Missing values

2024-06-24T01:06:19.955787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-24T01:06:21.691649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-06-24T01:06:33.089252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0MICKLE CHICKENRoutine10/30/20191003203CAMP WISDOMWRDNaN3203 W CAMP WISDOM RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNOct 2019FY20203203 W CAMP WISDOM RD\n(32.662584, -96.873446)
1TOM THUMB - JUICE BARRoutine04/08/20201002380FIELDNSTNaN2380 N FIELD ST75021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2020FY20202380 N FIELD ST\n(32.78904, -96.806882)
2BROOKDALE WHITE ROCKRoutine07/29/2020979271WHITE ROCKNaNTRLNaN9271 WHITE ROCK TRL75238*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.register with the City of Dallas: 7901 Goforth Rd Dallas, TX 75238 214-670-8083*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.dust accumulation on the fan covers inside the walk in coolerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY20209271 WHITE ROCK TRL\n(32.872855, -96.728807)
3CHURCH'S CHICKEN #201Routine09/14/202010010295FERGUSONNaNRDNaN10295 FERGUSON RD75228NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2020FY202010295 FERGUSON RD\n(32.83427, -96.673672)
4PEAK PREPARATORY-PRIMARY SCHOOLRoutine04/25/2017981474ANNEXNaNAVENaN1474 ANNEX AVE75204*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2017FY20171474 ANNEX AVE\n(32.80208, -96.7769)
5SAMS CLUB #6482 - DEMO ROOMRoutine04/05/20211005555BUCKNERSBLVDNaN5555 S BUCKNER BLVD75227NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20215555 S BUCKNER BLVD\n(32.793368, -96.685021)
6AMC THEATRES NORTHPARK 15 (BAR)Routine04/09/20211008687CENTRALNEXPW#30008687 N CENTRAL EXPW #300075225NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20218687 N CENTRAL EXPW #3000\n(32.869358, -96.770707)
7SAM'S CLUB #8282 - DEMO ROOMRoutine11/14/20211002900WHEATLANDWRDNaN2900 W WHEATLAND RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY20222900 W WHEATLAND RD\n(32.647455, -96.866883)
8UCHI DALLASRoutine03/11/2020982817MAPLENaNAVE#1102817 MAPLE AVE #11075201*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andyou can not store utensils or food on clothNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2020FY20202817 MAPLE AVE #110\n(40.501132, -78.416087)
9UNREFINED BAKERYRoutine03/23/20201002222MCKINNEYNaNAVE#1802222 MCKINNEY AVE #18075201NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2020FY20202222 MCKINNEY AVE #180\n(32.793312, -96.80271)
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
78974NORMA'S CAFERoutine01/30/2024929100CENTRALNEXPW#1519100 N CENTRAL EXPW #15175231*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaN*31 Handwashing lavatory - accessible2.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (1) A handwashing facility shall be maintained so that it is accessible at all times for employee use.NaN*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.NaN*34 Pest Control1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to minimize their presence within the physical facility and its contents, and on the contiguous land or property under the control of the permit holder by: (1) Routinely inspecting incoming shipments of food and supplies;fliesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20249100 N CENTRAL EXPW #151\n(31.805444359, -94.193143694)
78975POLLOS LA PULLITA IVRoutine02/22/2024703071NORTHWESTWHWYNaN3071 W NORTHWEST HWY75220*02 Cold Hold (41øF/45øF or below)3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;Observed beef @ 46.1 F, tripa @ 64.4 F and 45.8 F*09 Food protected cross contamination by preparing each type of food at different times or in separ3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (iii) preparing each type of food at different times or in separate areas.Prepare raw chicken and raw steak in different areas (observed touching on same prep table)*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Observed mold inside ice machine*14 When to wash hands before donning new gloves3.0228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; andWash hands before donning new gloves*15 Bare hands contact with ready-to-eat foods3.0228.65 Food. Preventing contamination by employees. (a) Preventing contamination from hands. (2) Except when washing fruits and vegetables as specified in õ228.66(e) of this title or as specified in paragraphs (4) and (5) of this subsection, food employees may not contact exposed, ready-to-eat food with their bare hands and shall use suitable utensils such as deli tissue, spatulas, tongs, single-use gloves, or dispensing equipment.Observed employee bare hand contact cilantro, onion, and lime for serving*18 Toxic items stored above food/utensils3.0228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (2) locating the poisonous or toxic materials in an area that is not above food, equipment, utensils, linens, and single-service or single-use articles. This paragraph does not apply to equipment and utensil cleaners and sanitizers that are stored in warewashing areas for availability and convenience if the materials are stored to prevent contamination of food, equipment, utensils, linens, and single-service and single-use articles.Do not store advil over horchata buckets*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andObserved major leaks on 3-comp sink faucet*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.Provide Food Manager during all hours of operation*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.NaN*31 Handwashing lavatory - used for other purpose2.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.Do not store items in hand wash sink*34 Outer openings:closing holes, gaps1.0228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;seal gaps @ backdoor (underneath)*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Observed dirty RIC/WIC gaskets*47 Handwashing signage1.0228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20243071 W NORTHWEST HWY
78976JACK IN THE BOXRoutine02/16/2024953232BUCKNERNBLVDNaN3232 N BUCKNER BLVD75228*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and3 comp sink observed a leak underside*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;cutting board needs to be resurfaced , observed grooves on surfaceNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20243232 N BUCKNER BLVD
78977MANGOLIN FRUTERIA Y NEVERIARoutine02/22/2024872306MOUNTAIN LAKENaNRDNaN2306 MOUNTAIN LAKE RD75224*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;hand sink requires paper towels / RR ( kitchen)*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andwiping cloths need to be in the sanitizing bucket between usage*28 Date marking commercially prepared of RTE/PHF2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (B) the day or date marked by the food establishment may not exceed a manufacturer's use-by date if the manufacturer determined the use-by date based on food safety.gallon of milk needs to be date marked for 7 days then discard*46 Covered waste receptacle for women's restroom1.0228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (h) Toilet room receptacle, covered. A toilet room used by females shall be provided with a covered receptacle for sanitary napkins.trash bin needs a cover in the RR*32 Damaged Equipment2.0228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;Observed 3 spatulas damages and need to be replaced*18 Toxic items used according to law3.0228.204 Poisonous or Toxic Materials. Presence and use. (b) Conditions of use. Poisonous or toxic materials shall be: (1) used according to: (A) law and this chapter;need to have a bucket station of sanitizing solution at 50 -100ppm Cl*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.test strips requiredNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20242306 MOUNTAIN LAKE RD\n(40.88696, -74.4509)
78978ISLAND CLUBRoutine01/27/20249310834FERGUSONNaNRDNaN10834 FERGUSON RD75228*31 Hand sinks: number installed for convenient use2.0228.147 Water, Plumbing, and Waste. Plumbing, numbers and capacities. (a) Handwashing facilities. (1) Except as specified in paragraphs (2) and (3) of this subsection, at least one handwashing lavatory, a number of handwashing lavatories necessary for their convenient use by employees in areas specified in õ228.148 of this title, and not fewer than the number of handwashing lavatories required by the Plumbing Code shall be provided.Hand sink not located nest food prep area*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Ceiling tiles along ice machine observed with brown accumulation + disrepair*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.NaN*47 Health permit posted1.0SEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.provide last inspectionNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY202410834 FERGUSON RD
78979STRATOS BAR & GRILLRoutine02/21/2024712907NORTHWESTWHWYNaN2907 W NORTHWEST HWY75220*02 Cold Hold (41øF/45øF or below)3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;Observed pico de gallo @ 46.2 F, salsa 47.3 F, cheese @ 49.3 F*05 Rapidly reheat 165øF for hot holding3.0228.73 Food. Reheating. Reheating for hot holding. (a) Except as specified under subparagraphs (b), (c), and (e) of this paragraph, time/temperature controlled for safety (TCS) food that is cooked, cooled, and reheated for hot holding shall be reheated so that all parts of the food reach a temperature of at least 74 degrees Celsius (165 degrees Fahrenheit) for 15 seconds.Reheat rice rapidly to 165 F before hot holding. Observed @ 71 F*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andDo not store raw beef and raw fish in same container*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Observed dirty microwave from inside and soiled can opener blade*14 When to wash hands before donning new gloves3.0228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; andWash hands before donning new gloves*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andRepair leak under 2-comp sink and on it's faucet*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.NaN*31 Handwashing lavatory - used for other purpose2.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.NaN*32 Equipment and Utensils Multiuse Materials durable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (2) durable, corrosion-resistant, and nonabsorbent;Clean rusted RIF shelves*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;Provide lids/cover for food in RIF under rusted shelves*39 Cutting surfaces.1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (b) Cutting surfaces. Surfaces such as cutting blocks and boards that are subject to scratching and scoring shall be resurfaced if they can no longer be effectively cleaned and sanitized, or discarded if they are not capable of being resurfaced.on RIC*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Observed dirty can opener and storage shelves*43 Light bulbs, light shields provided1.0228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.Repair lights under venthood and provide light shield*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Repair faucet knob on hand wash sinks, WIC floor and ceiling tileNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20242907 W NORTHWEST HWY
78980STARBUCKS COFFEE COMPANYRoutine01/11/2024952455MOCKINGBIRDWLNNaN2455 W MOCKINGBIRD LN75235*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.CLEAN FOR SIGHT /TOUCH SHELVES IN RIC MILK*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.CLEAN AND SANITZE COUNTER TOPS/ SERVICE*45 Cleaning floors, dustless methods1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (c) Cleaning floors, dustless methods. (1) Except as specified in paragraph (2) of this subsection, only dustless methods of cleaning shall be used, such as wet cleaning, vacuum cleaning, mopping with treated dust mops, or sweeping using a broom and dust-arresting compounds.FLOOR OBSERVED NOT IN GOOD REPAIR (BACK AREA)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20242455 W MOCKINGBIRD LN
78981RACETRACRoutine02/28/20249310707MILLERNaNRDNaN10707 MILLER RD75228*22 Accredited food handler certificate - 60 days2.0õ228.33. Certified Food Protection Manager and Food Handler Requirements (d) Except in a temporary food establishment and the certified food manager, all food employees shall successfully complete an accredited food handler training course, within 60 days of employment.Cannot provide food handlers for employee cooking.*18 Medicines labeled and stored properly3.0228.209 Poisonous or Toxic Materials. Medicines. (a) Restriction and storage. (2) Medicines that are in a food establishment for the employees' use shall be labeled as specified in õ228.201 of this title and located to prevent the contamination of food, equipment, utensils, linens, and single-service and single-use articles.Cannot store medicine above food items.*42 Floors/walls/ceiling/nonfood dirty1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.Clean floors, under equipment, dusty ceilings above prep table.*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Broken tile under 3 comp sink, broken door attached to wall.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY202410707 MILLER RD\n(40.947667946, -73.839854102)
78982HAYWIRERoutine02/28/2024881920MCKINNEYNaNAVE#1001920 MCKINNEY AVE #10075201*10 Q.A. PPM - follow manufacturer's direction3.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (n) Manual and mechanical warewashing equipment, chemical sanitization temperature, pH, concentration, and hardness. A chemical sanitizer used in a sanitizing solution for a manual or mechanical operation at contact times specified in õ228.118(3) of this title shall meet the criteria in õ228.206(a) of this title, shall be used in accordance with the EPA-approved manufacturer's label use instructions,P and shall be used as follows: (3) a quaternary ammonium compound solution shall: (B) have a concentration as specified under õ228.206 of this title (relating to Chemicals) and as indicated by the manufacturer's use directions included in the labeling; andMaintain sanitizer buckets at 200 ppm QA*19 One Inch Air Gap3.0228.146 Water, Plumbing, and Waste. Plumbing design, construction, and installation. (c) Backflow prevention, air gap. An air gap between the water supply inlet and the flood level rim of the plumbing fixture, equipment, or nonfood equipment shall be at least twice the diameter of the water supply inlet and may not be less than 25 mm (1 inch).Provide at least one inch air gap at ice machine drains*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andReplace damaged cooler gaskets Replace damaged utensils*39 Keep utensils handles upright or protected1.0228.125 Preventing Contamination. (a) Kitchenware and tableware. (2) Knives, forks, and spoons that are not prewrapped shall be presented so that only the handles are touched by employees and by consumers if consumer self-service is provided.Keep spoon handle out of food*41 Food storage containers, identified with common name of food.1.0228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.Label all bulk containers*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean back of equipment*47 Handwashing signage1.0228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.Provide hand sink signs at barNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFeb 2024FY20241920 MCKINNEY AVE #100\n(48.341449732, -101.209204884)
78983MANNY'S UPTOWN TEX-MEXRoutine01/27/2024807601CAMPBELLNaNRD#7257601 CAMPBELL RD #72575248*02 Cold Hold (41øF/45øF or below)3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;prep cooler by cook line not cold enough with pico de gallo reading 47 F. The temperature of the cooler was adjusted and foods above cold holding temp (< 50 F) were put on ice*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.Label all chemical spray bottles. Small unknown spray bottle found on utensils*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andFoods in walk-in coolers (2) + freezer were unlabeled and not date marked*31 Handwashing lavatory - accessible2.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (1) A handwashing facility shall be maintained so that it is accessible at all times for employee use.Handwash station at bar was blocked with dishes in basin. H.W. is only for handwashing*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andChipped knives, melted spatulas, and a chipped ice scoop were found. There are considered no cleanable*35 Hair Restraints effective1.0228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.NaN*37 Food protected from cross contamination by storing the food in packages, covered containers, or1.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (D) except as specified in õ228.75(e)(2)(B) of this title and paragraph (2) of this subsection, storing the food in packages, covered containers, or wrappings;Keep food covered and protected in walk-in coolers/freezer*39 Store equipment & utensils in a clean, dry place1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (A) in a clean, dry location;Do not store utensils in unreachable areas that cannot be cleaned, like crevices of appliances, or behind electrical equipment*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Clean shelving beneath cook line of food debris/grime*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.Larger walk-in cooler is leaking water*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJan 2024FY20247601 CAMPBELL RD #725\n(40.875583513, -74.046139647)

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24MCDONALDSRoutine03/30/2023994223ILLINOISWAVENaN4223 W ILLINOIS AVE75211*39 Soda nozzles and ice bin clean as specified1.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (5) Except when dry cleaning methods are used as specified in õ228.115(a) of this title, surfaces of utensils and equipment contacting food that is not time/temperature control for safety shall be cleaned: (D) in equipment such as ice bins and beverage dispensing nozzles and enclosed components of equipment such as ice makers, cooking oil storage tanks and distribution lines, beverage and syrup dispensing lines or tubes, coffee bean grinders, and water vending equipment: (i) at a frequency specified by the manufacturerOBSERVED RUST AROUND SCREW IN ICE MACHINE, COLLECTING CONDENSATION. USE MATERIAL THAT DOES NOT RUST OR IS MORE RESISTED TO RUSTING, CLEAN AROUND SCREW.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2023FY20234223 W ILLINOIS AVE\n(32.72093, -96.88957)3
0AMERICAN FOOD VENDING SERVICES @ TI DMOS (CALL 214-789-1656)Routine04/26/202310013353TINaNBLVDNaN13353 TI BLVD75243NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2023FY202313353 TI BLVD2
1ANATOLE HOTEL (GOSSIP BAR)Routine12/22/20201002201STEMMONSNFRWYNaN2201 N STEMMONS FRWY75207NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDec 2020FY20212201 N STEMMONS FRWY\n(32.801595, -96.829026)2
2BAYLOR UNIVERSITY MED CTR PHYSICIANSRoutine08/16/20231003500GASTONNaNAVENaN3500 GASTON AVE75246NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2023FY20233500 GASTON AVE2
3BISHOP DUNNE HIGH STADIUMRoutine11/15/2023993900RUGGEDNaNDRNaN3900 RUGGED DR75224*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.Ceiling fan blades shall be clean to sightNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2023FY20243900 RUGGED DR2
4CANTEEN @ AMAZON IAH1-LARGE REMOTE BREAKROOMRoutine07/15/20221009155SOUTHLINKNaNDRNaN9155 SOUTHLINK DR75241NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2022FY20229155 SOUTHLINK DR\n(32.63708, -96.7475)2
5CC YOUNG (LEVEL 5 CAFE)Routine09/06/20221004849LAWTHERWDRNaN4849 W LAWTHER DR75214NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2022FY20224849 W LAWTHER DR\n(32.85442, -96.730528)2
6CENTERPLATE PERCOLATOR CART #17Routine11/15/2021100650GRIFFINSSTNaN650 S GRIFFIN ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY2022650 S GRIFFIN ST\n(32.772703, -96.799217)2
7CONCOURSE SHOPSRoutine05/07/2021100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMay 2021FY2021208 S AKARD ST\n(32.779797, -96.799295)2
8CONCOURSE SHOPSRoutine08/09/2022100208AKARDSSTNaN208 S AKARD ST75202NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2022FY2022208 S AKARD ST\n(32.779605, -96.799243)2